IT202100018974A1 - Statistical system and method for placing bets, featuring a user journey, a digital platform and algorithms for analyzing sports events - Google Patents

Description

Description of the invention entitled: Statistical system and method for placing bets, characterized by user journey, digital platform and algorithms for analyzing sporting events

field of technique

The present invention relates to statistical techniques and methods useful for carrying out sports bets.

Known art

The Internet and the growing availability of broadband services have led to the proliferation of online gambling, including online sports betting. In general, to participate in activities? of online gambling, such as betting on sporting events, a user needs to open an account with an online gambling service, which is usually ? a deposit or credit account.

The sports betting sector? today a sector in continuous growth thanks, in fact, also to the technological evolution that allows bets to be placed immediately and comfortably, even via electronic devices. The European market today? very heterogeneous and has 7 million players in the UK, 3.7 million in Italy and 1.5 million in Spain.

In 2018, spending in Italy was 670 million euros.

In line with what happened in Italy, the main regulated foreign markets also recorded an expansion of online gaming; from the comparison with the main foreign markets it emerges that Italy is confirmed as the second market in terms of size and represents almost a quarter of the largest? the largest online gaming market, i.e. the United Kingdom, which recorded a total expenditure of approximately 5.6 billion euros.

The expansion of the Spanish market also continues with a growth of 36%, with a value of approximately 560 million euros, also thanks to the entry of new operators into the market, conquered by an increasingly wide offer. complete and attractive, with a dynamic similar to what happened in Italy in recent years.

France also continued its upward trend, recording growth of 18%, exceeding 960 million euros.

In forecast the US market will have? an enormous economic impact with an estimated expenditure of $8 billion by 2030 (source AGIMEG).

It should be noted that users who placed a bet online in 2018 (sports bets) numbered 1.67 million with an average monthly expenditure of €28.

In addition, the increase in the gambling prevalence rate, the increase in the disposable income of consumers, the confidence in the modalities of online gambling and betting, the growth of internet penetration rate and the adoption of internet based devices are important factors driving the online gambling and betting market towards fast and greater expansion.

Globally, therefore, the global online gambling and betting market is expected to expand at a rapid pace by 2026.

Is the global online market for the sector expected to increase? with a CAGR of 11.8% by 2026. It is also estimated that it will reach a value of 128.2 billion dollars by 2026. (Sources: AGIMEC.COM and DIGITAL OBSERVATORY - POLITECNICO DI MILANO)

To date there are several found at an international and national level, united by the purpose? to allow the generation of bets online, in some cases also in modality? automatic.

From a conscious gaming point of view, the most? warned by the bettor? that of being able to have a series of organized data that can guide him in making the bet.

The system object of the present invention is not limited to offering the only possibility? of placing bets, but offers the possibility, through a dedicated platform, of placing bets using a system based on the analysis and comparison of statistical and historical data linked to the initial odds of bookmakers.

Does the algorithm underlying the operation of the present invention represent a novelty? in the international scene.

Well object of the present invention ? a method and system that provides the possibility? to place bets electronically through specific algorithms, characterized by a user journey and digital platform.

The initial odds expressed by the bookmakers have, in fact, a strong ability to predictive of the results of all sporting events and, therefore, being able to have large databases relating to the initial odds expressed by bookmakers, the invention has a strong ability predictive of the results of all sporting events.

This is the first betting platform that analyzes the results of events linked to the initial odds of bookmakers.

The present invention therefore does not provide predictions but identifies the sporting events in which it is convenient to play in order to maximize the economic return of the bets over time.

Description of the invention

The present found ? an integrated solution to solve the above problems in a simple, creative and reliable way.

The present invention relates to a digital system and platform characterized by a user journey for interaction between users, analysis, sharing and exploitation of statistical data for placing sports bets through a suitable algorithm.

How will it be? Appreciated by one skilled in the art, aspects of the present invention may be incorporated as a system, method or computer program product. Accordingly, aspects of the present invention may take the form of an all-hardware embodiment, an all-software embodiment (including firmware, resident software, microcode, etc.), or an embodiment that combines both software and hardware aspects to which can you? generally referred to herein as "circuit", "module", or "system". Additionally, aspects of the present invention may take the form of a computer program product incorporated into one or more programs. media readable by at least one processor on which ? embedded computer-readable program code.

The reference to ?at least one computer? ? directed to highlight the possibility? that the present invention is implemented in a distributed and/or modular manner.

The invention in question does not represent an improvement or a plug-in of something existing but? written independently without relying on framework already? created.

Aspects of the present invention may also be in the form of a mobile web application or web service.

Aspects of the present invention may be implemented in the form of program instructions which may be executed by various computer means and recorded in a computer readable medium. Can computer-readable media include program instructions, data files, data structures, and the like, alone or in combination.

The program instructions recorded on the computer readable medium may be specially designed and configured for the present invention, or may be known and usable by those skilled in computer software.

Examples of computer-readable media include hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like.

Examples of program instructions include not only machine language code such as that produced by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like.

Aspects of the present invention may also have the form of a mobile web application or web service which can also be used via mobile devices.

The solution described here comprises a set of procedures which generate and process a particular set of data in electronic form.

The solution described here concerns a statistical system that can be used on an online technological platform, characterized by an algorithm based on historical data relating to the bookmakers' odds.

The present invention does not provide predictions but identifies the sporting events in which it is advisable to play in order to maximize the economic return of the bets over time. This takes place through the statistical analysis of a historical database of results from various sporting events and competitions thanks to a Match Analysis algorithm.

The system object of the present invention also implements an IT platform.

According to one embodiment, the user accesses the online platform, via an internet browser, registers and creates his own account.

According to another embodiment, the user downloads the application onto his device, registers and creates his own account.

The platform creates an intermediate layer between its users and the system.

Is it made to be interfaced automatically with other IT platforms even already? operational.

The digital platform, object of the present invention, has a multifunctional structure.

The user interface, simple and intuitive, ensures high accessibility? of the system, giving transparency and clarity to the sequence of operations envisaged.

The digital platform? able to guarantee continuity? of service h24.

However, by means of a computer interface, the present invention provides for the functional and secure integration of programming languages, such as Python.

The technological architecture of the platform will advantageously be modular.

The active modules, usable through the account, are:

- registration and account creation;

- data import;

- elaboration and drafting of statistics;

- STATISTICS BOT

- selection and placing of bets;

- MONEY MANAGEMENT;

- Sbostat Plus

By means of a special match analysis algorithm, the system ? capable of acquiring data from sporting events, analyzing them on a statistical basis together, in particular, with the historical data of the respective results and the initial quota assigned by the bookmakers.

The platform is therefore equipped with a continuously updated database, consisting of the initial odds provided by selected bookmakers, in addition to various market data and results of matches of various sports

The system ? capable of monitoring and analyzing all sports leagues simultaneously.

For each event ? Is it possible to know in advance how many times a given market (100+ including overs, combos, etc?) occurs? verified, providing the possibility? to choose the probability? greater than that? result occurs.

The invention provides a data import module capable of reading the input files of each championship, reporting, for each match present in it, the result of each type of bet analyzed by the system, the favorite team and relative initial odds assigned by the bookmaker.

This has made possible the automatic analysis of all leagues at the same time.

A further implementation of this module ? able to analyze one championship at a time and for each event introduced in the system? able to:

the. Evaluate the validity of the algorithm for each type of bet proposed;

ii. Save the selected bet on a special database, with its relative success.

The match analysis algorithm, statistical analysis algorithm, represents the main innovative element of the present invention.

It analyzes the results of the matches linked to the bookmaker's initial odds, increasing the possibility to win. The algorithm? composed of the following data:

? Initial odds of bookmakers

The odds selected are as follows:

Quote sign 1

X sign dimension

Quote sign 2

Of these three shares you always take the pi? low what? the favorite for bookmakers

? Final match results broken down by sport;

? Definition of historical percentages divided by country and championship (these percentages are obtained by calculating the correlation between the final result of the match and the proposed score)

For example, selecting Sport Calcio, country Italy, Serie A championship, with the favorite odds of the sign 1 there are n. 1000 games. The percentage of the mark over 1.5 (game that ends with 2 or more goals) yes? verified 500 times in history.

So the calculation? the following:

500/1000 = 0.5*100=50%

The constraints taken into consideration are therefore:

? SPORT

? NATION

? CHAMPIONSHIP

? FAVORITE ODDS (the lowest odds between 1 /X / 2)

? NUMBER OF GAMES

? FINAL RESULTS OF THE MATCHES

According to one embodiment, we will now describe the process of selecting and placing bets.

Given a match to be analyzed with favorite odds q (distinguishing in favorite odds at home/away), all the matches prior to it with the same favorite odds are selected from the championship database.

If there are no at least 51 matches that satisfy this condition, then no bets relating to that event are selected.

Otherwise, for each type of bet the percentage (p) of successes in the betting history is calculated as follows: select.

- If p ? between 70% (inclusive) and 80%, the system calculates the percentage of successes (p6) of the last 6 games;

if p - p6 > 25%, the system calculates the percentage of successes (p11) of the last 11 games;

If p-p11 > 10% ? Bet accepted.

- If p ? between 80% (inclusive) and 90%, the system calculates the percentage of successes (p6) of the last 6 games;

if p - p6 > 20%, the system calculates the percentage of successes (p11) of the last 11 games;

if p - p11 > 10%? Bet accepted.

- If p ? greater than or equal to 90%, the system calculates the percentage of successes (p6) of the last 6 games.

If p - p6 > 15%, the system calculates the success rate (p11) of the last 11 games;

if p-p11 > 10% ? Bet accepted.

Description of the figures

The invention will come described hereinafter in at least one preferred embodiment and embodiment, by way of explanation and not of limitation, with the aid of the accompanying figures.

Fig. 1 shows, in one of the possible configurations, the procedure for selecting the championship of interest and operations? of the ?Statistics? function, with the related functions it includes.

Fig. 2, fig. 3 and fig. 4 show, according to one of the possible configurations, the system for detecting the data relating to underfrequencies and overfrequencies.

Fig. 5 shows the procedure, according to the ?last matches? function, through which to check how many times a given sign taken into consideration is not ? verified.

Fig. 6, according to the STATISTICS BOT function, shows the function through which to speed up the analysis times of the entire process and the compilation of the filters.

Fig. 7 shows, in one of the possible configurations, the function through which it can? confirm the operations and pu? view a summary of your choices.

Fig. 8 shows, in its functioning in mode? ?money management? , the procedure through which the user can? set your own goals according to the available budget.

Fig. 9, according to one of the possible configurations, shows the ?planning? through which the user can? determine the investment share and the capital risk as a percentage.

Fig. 10, according to one of the possible configurations, shows the ?Exchange? through which the user can? program the degree of risk and set it for future bets.

Fig. 11 and fig. 12, according to one of the possible configurations, show the ?balance? and ?planning? through which the user can, respectively, check the status of their bets and update those made, and the system, based on the records entered, will generate the amount to play.

Fig. 13 shows the procedure ?sbostat plus? through which, inserted the relevant filters, the system ? capable of generating the historical results with the events that meet the search requirements.

Fig. 14 still shows the ?planning? function, according to a possible configuration, through which the user can? check the matches not yet played that fall within the filter parameters.

Fig. 15 shows, according to one of the possible configurations, the search management and saving function.

Detailed description of the operation of the invention in relation to the figures

The invention will come described hereinafter in at least one preferred embodiment by way of explanation and not by way of limitation or binding, according to a preferred embodiment, with reference to apparatuses (systems) and program products, with the aid of the accompanying figures, which illustrate some screenshots of the platform.

In the following, embodiments of the present invention will be described in detail with reference to the accompanying figures so that those skilled in the art can easily implement the present invention. However, the present invention can be implemented in various different forms, even in its essential components and characteristics, and not ? limited to the embodiments described herein.

The claims form an integral part of the present description.

According to an exemplifying embodiment, through a dedicated web platform or through an IT application previously downloaded from the appropriate Stores, as configured below, the user registers and logs in.

According to the ?Statistics? ? Is it possible to consult the events available on today's date on the central page or choose from the menu? based on sport, country and league.

For each event, the platform allows you to view the odds 1/X/2 referring to the opening odds of the bookmakers, highlighting the favorite odds, i.e. the most? low.

Using the ?Statistics? This invention allows you to view all the statistical percentages referring to the favorite odds, reporting the historical frequency of that specific market (1/X/2/GOL/OVER 1.5 etc.) Within each event ? It is possible to view a paragraph with the explanation of the under/over frequencies (small numbers in different colors positioned under each market).

According to one form of use, by way of example, the user selects the championship of interest, accesses the statistical function of the match and checks the data he finds where c?? the wording ?statistics based on 129 results? (FIG.1).

The system to show the percentage differences between the historical frequency of a given event and that in the short term will use? indicators: underfrequency and overfrequency.

Underfrequency refers to situations that are in statistical anomaly (occurring less frequently than the historical frequency).

To check the underfrequency will the system calculate? how many times the sign of the market taken into consideration, yes ? verified in the last 11 matches (?LAST RESULTS?) (FIG. 2)

In figure 2 ? the sign 1 was taken into consideration, which has a percentage of 58.21%. In this case the sign 1 is ? verified 4 times (highlighted).

Will the system operate? the following calculation:

4/11=0.3636 x 100 = 36.36% where:

4 (? a variable number that depends on how many times the sign taken into consideration is present in the ?last games? screen)

11 (fixed number indicating the total of matches on which the calculation is based)

The result is subtracted from the historical percentage of the mark.

In this case (FIG. 3):

58.21% - 36.36% = 21.85% where:

58.21% (starting mark percentage)

36.36% (percentage derived from calculation)

The result indicates the under frequency.

By overfrequency, on the other hand, we mean those situations that are in statistical anomaly (they are occurring with a HIGHER frequency than the historical frequency).

The calculation to find the above frequency ? the same used for the sub frequency.

If the result ? negative then we speak of above frequency and will be indicated with a different color (FIG. 4) According to the ?delay? function, the system ? able to detect how long that market/sign hasn't been happening.

By way of example, the user can? check the history in the "LAST GAMES" table (FIG.5) and verify how many times has a certain sign taken into consideration not been? verified.

According to one form of embodiment, the "Statistics BOT" function, by means of suitable software, makes it possible to significantly speed up the analysis times of the entire schedule for the day.

By starting this function, the system will send? a message to the user to set the first filter (FIG. 6) and select what is of interest, for example: Championship, main competitions, when (next days, always), predictions (all markets, combinations). The function ?clean? allow? to reset all the filters set and carry out a new search with different parameters.

The ?Help? allow? to access an example video and direct assistance contact.

At this point the user activates the proceed function (FIG. 7) and can? view a summary of your choices.

Once the information has been acquired, through the ?Download results? function, the system will generate and send? to the user a file in Excel format with the list of all the matches that fall within the parameters selected by him.

According to one embodiment, via the ?money management? the user can keep your portfolio under control, manage risk in the best possible way and reach your pre-set goal based on the available budget.

By way of example, the user can? set a goal (FIG. 8): enter the name of your money management in the ?IDENTIFICATION NAME? box; enter your initial capital that you want to dedicate to your sports investment; set a ?MONTH INTEREST? that you want to achieve.

The system automatically calculates the final capital over 12 months (predefined period of time); also providing a 10-year prospectus that is filled in automatically according to the data that the user has entered.

According to the planning function (FIG.9) the user can? determine the investment share and the capital risk as a percentage.

Are the fields (MONTH/BUDGET/MONTH INTEREST) already? calculated automatically by the system on the basis of what the user has entered in the objective form.

Will the system allow then to make a simulation on possible plays and errors in order to set the ?money? in line with your needs.

By activating the ?Save money management? can you? continue, while activating the function ?preview? ? possible to manage the simulations described above. According to the ?Exchange? function, (FIG. 10) which is not required but an alternative, the user will be able to? set the cash out percentage and possible stop loss in the ?SUMMARY? section, set the quota in ?BANK? and the system will compile? automatically the other cells in order to give evidence to the user customer which amount to fix or bet through an external site.

According to the ?Balance? (FIG. 11) the system ? able to allow the user to view and check the status of their bets and update those made. Based on the data entered, the system reports the amount to bet based on the yield played and on the basis of the data entered with the ?planning? function. (FIG.12)

According to the ?SBOSTAT PLUS? ? You can analyze thousands of games in seconds.

It is a massive search service integrated on millions of data points.

The user, after configuring the filters according to his interests (FIG.13), will activate? the function processes and will get? a history with the events that meet the search requirements.

The match statistics database is searched in order to bring back the statistics of each match. Are displayed:

? match date

? championship

? game name

? final results

? first half result

? second half result

? the data analyzed in the history according to the search carried out in the filter

? the odds 1/ x / 2 present in the history for each match

The calculation of the history takes place through the following algorithm:

from sqlalchemy import Column, Integer, String, Date, Float, Boolean

from model.common import Base

import unidecode

from datetime import datetime

from utils.defs import league_code_by_name

from utils import match_utils as m_util

bookmaker_char = ["X", "H", "A"]

class SboProMatch(Base):

__tablename__ = "soccer_pro_match"

id = Column(Integer, primary_key=True)

home = Column(String(128))

away = Column(String(128))

date = Column(Date)

time = Column(String(9))

league_id = Column(Integer)

gol_home = Column(Integer)

gol_away = Column(Integer)

quote_X = Column(Float)

quote_1 = Column(Float)

quote_2 = Column(Float)

sbo_id = Column(String(128))

gol_home_ht = Column(Integer)

gol_away_ht = Column(Integer)

num_db = Column(Integer)

num_db_ht = Column(Integer)

code = Column(String(8))

def __repr__(self):

return "{}-{} ({}-{}) @ {}".format(self.home, self.away, self.gol_home, self.gol_away, self.date)

def results(self, only_primary=False):

gol_sum = self.gol_home self.gol_away

_out = {

"res_1": self.gol_home > self.gol_away, "res_2": self.gol_home < self.gol_away, "res_X": self.gol_home == self.gol_away, "res_1X": self.gol_home >= self.gol_away, "res_X2": self.gol_home <= self.gol_away, "res_12": self.gol_home != self.gol_away, "res_gol": self.gol_home > 0 and self.gol_away > 0,

"res_no_gol": self.gol_home == 0 or self.gol_away == 0,

"res_under05": goals_sum < 0.5,

"res_under15": goals_sum < 1.5,

"res_under25": goals_sum < 2.5,

"res_under35": goals_sum < 3.5,

"res_under45": goals_sum < 4.5,

"res_over05": goals_sum > 0.5,

"res_over15": goals_sum > 1.5,

"res_over25": goals_sum > 2.5,

"res_over35": goals_sum > 3.5,

"res_over45": goals_sum > 4.5,

"res_gol_home": self.gol_home > 0,

"res_gol_away": self.gol_away > 0,

"res_over15_home": self.gol_home > 1.5,

"res_over25_home": self.gol_home > 2.5,

"res_under15_home": self.gol_home < 1.5,

"res_under25_home": self.gol_home < 2.5,

"res_over15_away": self.gol_away > 1.5,

"res_over25_away": self.gol_away > 2.5,

"res_under15_away": self.gol_away < 1.5,

"res_under25_away": self.gol_away < 2.5,

"res_even": (gol_sum % 2) == 0,

"res_odd": (gol_sum % 2) == 1,

"res_multigol_home_1_2": self.gol_home >= 1 and self.gol_home <= 2,

"res_multigol_home_1_3": self.gol_home >= 1 and self.gol_home <= 3,

"res_multigol_home_2_3": self.gol_home >= 2 and self.gol_home <= 3,

"res_multigol_away_1_2": self.gol_away >= 1 and self.gol_away <= 2,

"res_multigol_away_1_3": self.gol_away >= 1 and self.gol_away <= 3,

"res_multigol_away_2_3": self.gol_away >= 2 and self.gol_away <= 3,

"res_multigol_1_2": goals_sum >= 1 and goals_sum <= 2,

"res_multigol_1_3": goals_sum >= 1 and goals_sum <= 3,

"res_multigol_1_4": gol_sum >= 1 and gol_sum <= 4,

"res_multigol_1_5": goals_sum >= 1 and goals_sum <= 5,

"res_multigol_1_6": goals_sum >= 1 and goals_sum <= 6,

"res_multigol_2_3": gol_sum >= 2 and gol_sum <= 3,

"res_multigol_2_4": gol_sum >= 2 and gol_sum <= 4,

"res_multigol_2_5": gol_sum >= 2 and gol_sum <= 5,

"res_multigol_2_6": gol_sum >= 2 and gol_sum <= 6,

"res_multigol_3_4": gol_sum >= 3 and gol_sum <= 4,

"res_multigol_3_5": gol_sum >= 3 and gol_sum <= 5,

"res_multigol_3_6": gol_sum >= 3 and gol_sum <= 6,

"res_multigol_4_5": gol_sum >= 4 and gol_sum <= 5,

"res_multigol_4_6": gol_sum >= 4 and gol_sum <= 6,

"res_multigol_5_6": gol_sum >= 5 and gol_sum <= 6,

"res_multigol_7": goals_sum >= 7,

}

combined_vic = ["res_1", "res_2", "res_X", "res_1X", "res_X2", "res_12"]

combined_mer = ["res_over15", "res_over25", "res_over35", "res_over45", "res_gol", "res_no_gol",

"res_under15", "res_under25", "res_under35", "res_under45"]

_out.update(

{v+m[3:]: _out[v] and _out[m] for v in combined_vic for m in combined_mer}

)

if self.gol_home_ht is not None and self.gol_away_ht is not None:

gol_sum_ht = self.gol_home_ht self.gol_away_ht

gol_home_st = self.gol_home - self.gol_home_ht gol_away_st = self.gol_away - self.gol_away_ht gol_sum_st = gol_home_st gol_away_st

_out.update({

"res_1_ht": self.gol_home_ht > self.gol_away_ht,

"res_X_ht": self.gol_home_ht == self.gol_away_ht,

"res_2_ht": self.gol_home_ht < self.gol_away_ht,

"res_over05_ht": gol_sum_ht > 0.5, "res_over15_ht": gol_sum_ht > 1.5, "res_gol_home_ht": self.gol_home_ht > 0, "res_gol_away_ht": self.gol_away_ht > 0, "res_1_st": gol_home_st > gol_away_st, "res_X_st": gol_home_st = = gol_away_st, "res_2_st": gol_home_st < gol_away_st, "res_over05_st": gol_sum_st > 0.5, "res_over15_st": gol_sum_st > 1.5, "res_gol_home_st": gol_home_st > 0,

"res_gol_away_st": goals_away_st > 0,

})

if only_primary is True:

return _out

_out.update({

"res_exact_00": (self.gol_home == 0 and self.gol_away == 0),

"res_exact_10": (self.gol_home == 1 and self.gol_away == 0),

"res_exact_20": (self.gol_home == 2 and self.gol_away == 0),

"res_exact_30": (self.gol_home == 3 and self.gol_away == 0),

"res_exact_01": (self.gol_home == 0 and self.gol_away == 1),

"res_exact_11": (self.gol_home == 1 and self.gol_away == 1),

"res_exact_21": (self.gol_home == 2 and self.gol_away == 1),

"res_exact_31": (self.gol_home == 3 and self.gol_away == 1),

"res_exact_02": (self.gol_home == 0 and self.gol_away == 2),

"res_exact_12": (self.gol_home == 1 and self.gol_away == 2),

"res_exact_22": (self.gol_home == 2 and self.gol_away == 2),

"res_exact_32": (self.gol_home == 3 and self.gol_away == 2),

"res_exact_03": (self.gol_home == 0 and self.gol_away == 3),

"res_exact_13": (self.gol_home == 1 and self.gol_away == 3),

"res_exact_23": (self.gol_home == 2 and self.gol_away == 3),

"res_exact_33": (self.gol_home == 3 and self.gol_away == 3),

"res_exact_other": (self.gol_home > 3 or self.gol_away > 3),

"res_multigol_home_1_4": self.gol_home == 1 or self.gol_home == 4,

"res_multigol_home_2_4": self.gol_home == 2 or self.gol_home == 4,

"res_multigol_home_3_4": self.gol_home == 3 or self.gol_home == 4,

"res_multigol_away_1_4": self.gol_away == 1 or self.gol_away == 4,

"res_multigol_away_2_4": self.gol_away == 2 or self.gol_away == 4,

"res_multigol_away_3_4": self.gol_away == 3 or self.gol_away == 4,

"res_gol_or_over25": _out["res_gol"] or _out["res_over25"],

"res_X_or_over25": _out["res_X"] or _out["res_over25"],

})

combined_l = ["res_goal", "res_no_goal"]

combined_r = ["res_over25", "res_over35", "res_under25", "res_under35"]

_out.update(

{l r[3:]: _out[l] and _out[r] for l in combined_l for r in combined_r}

)

combined_l = ["res_1", "res_X", "res_2"]

combined_r = ["res_multigol_2_3", "res_multigol_2_4", "res_multigol_2_5",

"res_multigol_3_4", "res_multigol_3_5", "res_multigol_3_6"]

_out.update(

{l r[3:]: _out[l] and _out[r] for l in combined_l for r in combined_r}

)

combined_l = ["res_1X", "res_12", "res_X2"] combined_r = ["res_multigol_1_4", "res_multigol_1_5", "res_multigol_2_3",

"res_multigol_2_4", "res_multigol_2_5", "res_multigol_3_4", "res_multigol_3_4"]

_out.update(

{l r[3:]: _out[l] and _out[r] for l in combined_l for r in combined_r}

)

_out.update({

"res_over_05_home_under_05_away": self.gol_home > 0.5 and self.gol_away < 0.5,

"res_over_05_home_under_15_away": self.gol_home > 0.5 and self.gol_away < 1.5,

"res_over_05_home_under_25_away": self.gol_home > 0.5 and self.gol_away < 2.5,

"res_over_05_home_under_35_away": self.gol_home > 0.5 and self.gol_away < 3.5,

"res_over_05_home_over_05_away": self.gol_home > 0.5 and self.gol_away > 0.5,

"res_over_05_home_over_15_away": self.gol_home > 0.5 and self.gol_away > 1.5,

"res_over_05_home_over_25_away": self.gol_home > 0.5 and self.gol_away > 2.5,

"res_over_05_home_over_35_away": self.gol_home > 0.5 and self.gol_away > 3.5,

"res_under_05_home_under_05_away": self.gol_home < 0.5 and self.gol_away < 0.5,

"res_under_05_home_under_15_away": self.gol_home < 0.5 and self.gol_away < 1.5,

"res_under_05_home_under_25_away": self.gol_home < 0.5 and self.gol_away < 2.5,

"res_under_05_home_under_35_away": self.gol_home < 0.5 and self.gol_away < 3.5,

"res_under_05_home_over_05_away": self.gol_home < 0.5 and self.gol_away > 0.5,

"res_under_05_home_over_15_away": self.gol_home < 0.5 and self.gol_away > 1.5,

"res_under_05_home_over_25_away": self.gol_home < 0.5 and self.gol_away > 2.5,

"res_under_05_home_over_35_away": self.gol_home < 0.5 and self.gol_away > 3.5,

})

if self.gol_home_ht is not None and self.gol_away_ht is not None:

gol_sum_ht = self.gol_home_ht self.gol_away_ht

gol_home_st = self.gol_home - self.gol_home_ht gol_away_st = self.gol_away - self.gol_away_ht gol_sum_st = gol_home_st gol_away_st

_out.update({

"res_1_ht": self.gol_home_ht > self.gol_away_ht,

"res_X_ht": self.gol_home_ht == self.gol_away_ht,

"res_2_ht": self.gol_home_ht < self.gol_away_ht,

"res_1X_ht": self.gol_home_ht >= self.gol_away_ht,

"res_X2_ht": self.gol_home_ht <= self.gol_away_ht,

"res_12_ht": self.gol_home_ht != self.gol_away_ht,

"res_over05_ht": gol_sum_ht > 0.5, "res_over15_ht": gol_sum_ht > 1.5, "res_over25_ht": gol_sum_ht > 2.5, "res_under05_ht": gol_sum_ht < 0.5, "res_under15_ht": gol_sum_ht < 1.5, "res_under25_ht": gol_sum_ht < 2.5, "res_gol_ht ": self.gol_home_ht > 0 and self.gol_away_ht > 0,

"res_no_gol_ht": self.gol_home_ht == 0 or self.gol_away_ht == 0,

"res_gol_home_ht": self.gol_home_ht > 0, "res_gol_away_ht": self.gol_away_ht > 0, "res_1_st": gol_home_st > gol_away_st, "res_X_st": gol_home_st == gol_away_st, "res_2_st": gol_home_st < gol_away_st, "res_1X_st": gol_home_st >= gol_away_st, "res_X2_st": gol_home_st <= gol_away_st, "res_12_st": gol_home_st != gol_away_st, "res_over05_st": gol_sum_st > 0.5, "res_over15_st": gol_sum_st > 1.5, "res_over25_st": gol_sum_st > 2.5, "res_under05 _st": gol_sum_st < 0.5, "res_under15_st": gol_sum_st < 1.5, "res_under25_st": gol_sum_st < 2.5, "res_gol_st": gol_home_st > 0 and gol_away_st > 0,

"res_no_gol_st": goal_home_st == 0 or goal_away_st == 0,

"res_gol_home_st": gol_home_st > 0, "res_gol_away_st": gol_away_st > 0,

"res_exact_00_ht": (self.gol_home_ht == 0 and self.gol_away_ht == 0),

"res_exact_10_ht": (self.gol_home_ht == 1 and self.gol_away_ht == 0),

"res_exact_20_ht": (self.gol_home_ht == 2 and self.gol_away_ht == 0),

"res_exact_01_ht": (self.gol_home_ht == 0 and self.gol_away_ht == 1),

"res_exact_11_ht": (self.gol_home_ht == 1 and self.gol_away_ht == 1),

"res_exact_21_ht": (self.gol_home_ht == 2 and self.gol_away_ht == 1),

"res_exact_02_ht": (self.gol_home_ht == 0 and self.gol_away_ht == 2),

"res_exact_12_ht": (self.gol_home_ht == 1 and self.gol_away_ht == 2),

"res_exact_22_ht": (self.gol_home_ht == 2 and self.gol_away_ht == 2),

"res_exact_other_ht": (self.gol_home_ht > 2 or self.gol_away_ht > 2),

"res_exact_00_ht_diff_end": (self.gol_home_ht == 0 and self.gol_away_ht == 0) and (self.gol_home_ht != self.gol_home or self.gol_away_ht != self.gol_away),

"res_exact_10_ht_diff_end": (self.gol_home_ht == 1 and self.gol_away_ht == 0) and (self.gol_home_ht != self.gol_home or self.gol_away_ht != self.gol_away),

"res_exact_20_ht_diff_end": (self.gol_home_ht == 2 and self.gol_away_ht == 0) and (self.gol_home_ht != self.gol_home or self.gol_away_ht != self.gol_away),

"res_exact_01_ht_diff_end": (self.gol_home_ht == 0 and self.gol_away_ht == 1) and (self.gol_home_ht != self.gol_home or self.gol_away_ht != self.gol_away),

"res_exact_11_ht_diff_end": (self.gol_home_ht == 1 and self.gol_away_ht == 1) and (self.gol_home_ht != self.gol_home or self.gol_away_ht != self.gol_away),

"res_exact_21_ht_diff_end": (self.gol_home_ht == 2 and self.gol_away_ht == 1) and (self.gol_home_ht != self.gol_home or self.gol_away_ht != self.gol_away),

"res_exact_02_ht_diff_end": (self.gol_home_ht == 0 and self.gol_away_ht == 2) and (self.gol_home_ht != self.gol_home or self.gol_away_ht != self.gol_away),

"res_exact_12_ht_diff_end": (self.gol_home_ht == 1 and self.gol_away_ht == 2) and (self.gol_home_ht != self.gol_home or self.gol_away_ht != self.gol_away),

"res_exact_22_ht_diff_end": (self.gol_home_ht == 2 and self.gol_away_ht == 2) and (self.gol_home_ht != self.gol_home or self.gol_away_ht != self.gol_away),

"res_exact_other_ht_diff_end": (self.gol_home_ht > 2 or self.gol_away_ht > 2) and (self.gol_home_ht != self.gol_home or self.gol_away_ht != self.gol_away),

"res_multigol_1_2_ht": gol_sum_ht >= 1 and gol_sum_ht <= 2,

"res_multigol_1_3_ht": gol_sum_ht >= 1 and gol_sum_ht <= 3,

"res_multigol_1_4_ht": gol_sum_ht >= 1 and gol_sum_ht <= 4,

"res_multigol_2_3_ht": gol_sum_ht >= 2 and gol_sum_ht <= 3,

"res_multigol_2_4_ht": gol_sum_ht >= 2 and gol_sum_ht <= 4,

"res_multigol_3_4_ht": gol_sum_ht >= 3 and gol_sum_ht <= 4,

"res_multigol_1_2_st": gol_sum_st >= 1 and gol_sum_st <= 2,

"res_multigol_1_3_st": gol_sum_st >= 1 and gol_sum_st <= 3,

"res_multigol_1_4_st": gol_sum_st >= 1 and gol_sum_st <= 4,

"res_multigol_2_3_st": gol_sum_st >= 2 and gol_sum_st <= 3,

"res_multigol_2_4_st": gol_sum_st >= 2 and gol_sum_st <= 4,

"res_multigol_3_4_st": gol_sum_st >= 3 and gol_sum_st <= 4,

"res_gol_home_both_times": self.gol_home_ht > 0 and gol_home_st > 0,

"res_gol_away_both_times": self.gol_away_ht > 0 and gol_away_st > 0,

})

_out["res_X_or_X_ht"] = _out["res_X"] or _out["res_X_ht"]

combined = ["res_1", "res_X", "res_2"] _out.update({

ht[3:]: _out[h "_ht"] and _out[t] for h in combined for t in combined

})

return _out

def process_raw_match(match):

mandatory_field = ["league_id", "home", "away", "date", "quote_X", "quote_1", "quote_2"]

for _field in mandatory_field:

if _field not in match or match[_field] is None:

return None

league_id = match["league_id"]

sbo_id = m_util.get_sbo_id(match)

quote_x = match["quote_X"]

quote_1 = match["quote_1"]

quote_2 = match["quote_2"]

match_dict = {

"home": unidecode.unidecode(match["home"]), "away": unidecode.unidecode(match["away"]), "date": match["date"], #datetime.strptime(match[ "date"], "%Y-%m-%d"),

"time": match["time"],

"league_id": league_id,

"quotes_X": quote_x,

"quote_1": quote_1,

"quote_2": quote_2,

"sbo_id": sbo_id,

"code": match["code"]

}

#

if "result" in match and match["result"] is not None:

match_dict.update({

"gol_home": int(match["result"].split('-')[0]), "gol_away": int(match["result"].split('-')[1]) })

if "result_ht" in match and match["result_ht"] is not None:

_gol_home_ht = int(match["result_ht"].split('-')[0]) _gol_away_ht = int(match["result_ht"].split('-')[1]) match_dict.update({

"gol_home_ht": _gol_home_ht,

"gol_away_ht": _gol_away_ht

})

return match_dict

Through the function ?PLANNING? the user can check the matches not yet played that fall within the filter parameters (FIG. 14).

Through the ?BUDGET? function, the system allows? to? the user to be able to analyze the percentages pi? favorable to all markets.

Every market? calculated with rules that determine how many times ? in percentage terms that particular market: for example, over 1.5 which means at least 2 goals, the system calculates that based on the history how many matches there are, for example no. 1000, verifying how many of these ended with 2 or more? goals (over 1.5 rule). The system will then show the frequency percentage:

1000 matches of which 800 with final result (2 or more goals) = 800/100=0.8 x100=80%

The user can also save your own search.

Through the function ?Manage and recharge? the user can manage saved searches (FIG.15).

The invention that is the subject of this patent therefore has the objective of responding to one of the most perceived problems of bettors, i.e. having a series of organized data that can guide him in making the bet, from a conscious gaming point of view.

The system object of the present invention is not limited to offering the only possibility? of placing bets, but offers the possibility, through a dedicated platform, of placing bets using a system based on the analysis and comparison of statistical and historical data linked to the initial odds of bookmakers.

The present invention therefore does not provide predictions but operates as a facilitator by identifying the sporting events in which it is advisable to play in order to maximize the economic return of the bets over time.

The user can wager, therefore, in a conscious, simple and easy way, maximizing possibilities? profit and reducing risk.

These and other aims are achieved by the present invention. Therefore, the above description of the present invention is for illustration purposes only and those of ordinary skill in the art to which the present invention relates will be able to appreciate that other specific forms can be readily modified without changing the spirit or essential features of the present invention.

Therefore, it should be understood that the embodiments described above are illustrative and not limiting in all respects. For example, each component described as a single type can be implemented in a distributed manner, and similarly, components described as distributed may also be implemented in a blended form.

The scope of the present invention ? indicated by the claims to be described hereinafter rather than the detailed description, and all modifications or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included within the scope of the present invention.

The embodiments in the present application are described progressively.

From what is described in this paragraph it emerges how the module presents a correlation of different and integrated tools: IT tools, purposely created in an original way on the basis of this protocol, operational actions carried out in the said sequence by the users.

In one embodiment, the present invention can understand obtaining data, using a computer processor, from one or more? communication channels and social computing through one or more? adapters.

The obtaining of the data also pu? include the receipt of data from one or more? detection devices that detect one or more? activity? of one or more participants in end-to-end citizen engagements.

Obtaining data can also include communicating with a remote application installed on a mobile device to receive data.

Obtaining data can be carried out by one or more adapters and application programming interfaces running on the processor to communicate with at least one or more communication channels and social computing.

Program code embedded in a computer-readable medium can be transmitted using any appropriate means, including but not limited to wireless, cable, fiber optic cable, RF, etc. Or any suitable combination of the above.

The computer program code for performing operations for aspects of the present invention can be written in any combination of one or more? programming languages, including an object-oriented programming language such as Java, Smalltalk, C+, Pithon or similar and conventional procedural programming languages, such as "C" programming language or similar programming languages, a scripting language such as Perl , VBS or similar languages and / or functional languages such as Lisp and ML and logic oriented languages such as Prolog.

The program code can run entirely on your computer, partially on your computer, as a stand-alone software package, partly on your computer and partly on a remote computer, or entirely on the remote computer or server. In the latter scenario, the remote computer may be logged on to you.

These computer program instructions may be supplied to a processor of a general-purpose computer, special-purpose computer, or other programmable data-processing apparatus to produce a machine, such that the instructions, which are executed by the computer's processor or other programmable data processing apparatus.

For example, each component described as a single type can be implemented in a distributed manner, and similarly, components described as distributed may also be implemented in a blended form.

In some embodiments, the present invention includes one or more? of the following: one or more? processors; one or more memory devices; one or more network interface devices; one or more display interfaces; and one or more user input adapters.

Furthermore, in some embodiments, the present invention is connected to or includes a display device. These items (e.g., processors, memory devices, network interface devices, display interfaces, user input adapters, display device) are hardware devices (e.g., electronic circuits or combinations of circuits) that are configured to perform several different functions for the computing device.

In some embodiments, each or any of the processors or includes, for example, a single or multi-core processor, a microprocessor (for example, which may be referred to as a central processing unit or CPU), a digital signal processor (DSP), a microprocessor in combination with a DSP core, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or a system on chip (SOC) (e.g., an integrated circuit that includes a CPU and other hardware components such as memory, network interfaces and the like). And/or, in some embodiments, each or any of the processors use an instruction set architecture such as x86 or Advanced RISC Machine (ARM).

In some embodiments, each or any of the memory devices or includes random access memory (RAM) (such as dynamic RAM (DRAM) or static RAM (SRAM)), flash memory (e.g., NAND or NOR based), hard disk drive, magnetic media an optical medium, a cache memory, a register (e.g., that contains instructions), or another type of device that performs volatile or non-volatile storage of data and/or instructions (e.g., software that runs on or by processors Memory devices are examples of computer-readable storage media.

In some embodiments, each or any of the network interface devices includes one or more circuitry (such as a baseband processor and/or wired or wireless transceiver) and implements layer one, layer two, and/or higher layers for one or more wired communication technologies (such as Ethernet (IEEE 802.3)) and / or wireless communication technologies (such as Bluetooth, WiFi (IEEE 802.11), GSM, CDMA2000, UMTS, LTE, LTE-Advanced (LTE-A) and / or others a short-range, medium-range and/or long-range wireless communication technologies). Transceivers may include circuitry for a transmitter and a receiver. The transmitter and receiver may share a common housing and may share some or all of the circuitry in the housing to perform transmission and reception. In some embodiments, the transmitter and receiver of a transceiver may not share any common circuitry and/or may be in the same case or in separate housings.

In some embodiments, each or any of the display interfaces ? or includes one or more? circuits that receive data from processors generate (e.g., via a discrete GPU, integrated GPU, CPU that performs graphics processing, or the like) corresponding image data based on the received data and/or output (e.g., a high-definition multimedia interface (HDMI), a DisplayPort interface, a VGA (Video Graphics Array) interface, a digital video interface (DVI), or the like), the image data generated to the display device, which displays the image data. Alternatively or additionally, in some embodiments, each or any of the display interfaces ? or does it include, for example, a video card, video adapter, or drive? graphics processing unit (GPU). In some embodiments, each or any of the user input adapters ? or includes one or more? circuits that receive and process user input data from one or more? user input devices that are included in, connected to, or otherwise in communication with the computing device, and that output data based on input data received to processors. Alternatively or additionally, in some embodiments each or any of the user input adapters ? or includes, for example, a PS / 2 interface, a USB interface, a touch screen controller or the like; and/or user input adapters facilitate input from user input devices such as, for example, a keyboard, mouse, trackpad, touchscreen, etc.

In some embodiments, the display device may be a liquid crystal display (LCD), light emitting diode (LED) display, or other type of display device. In embodiments where the display device is a component of the computing device (for example, the computing device and the display device are included in a unified housing), the display device can? be a touchscreen or non-touchscreen display. In embodiments where the display device is connected to the computing device (for example, is external to the computing device and communicates with the computing device via a cable and/or via wireless communication technology), the display device is, for example, an external monitor, projector , television, display screen, etc.

In various embodiments, the processing device includes one, or two, or three, four, or more? of each or any of the items mentioned above (for example, processors, memory devices, network interface devices, display interfaces and user input adapters). Alternatively or additionally, in some embodiments, the processing device includes one or more? of: a computing system including processors; a memory or storage system including memory devices; and a network interface system including the network interface devices.

The computing device can be arranged, in various embodiments, in many different ways. As just one example, the computing device can? be arranged such that the processors include: a multi (or single) -core processor; a first network interface device (implementing, for example, WiFi, Bluetooth, NFC, etc...); a second network interface device that implements one or more? cellular communication technologies (e.g. 3G, 4G LTE, CDMA, etc...); memory or storage devices (for example, RAM, flash memory, or a hard drive). The processor, the first network interface device, the second network interface device and the memory devices may be integrated as part of the same SOC (e.g., an integrated circuit chip). As another example, the computing device can be arranged such that: processors nclude two, three, four, five or more? multi-core processors; the network interface devices include a first network interface device implementing Ethernet and a second network interface device implementing WiFi and/or Bluetooth; and storage devices include a RAM and flash memory or a hard drive.

As noted earlier, whenever this document describes a software module or software process as performing any action, the action ? actually? performed by underlying hardware elements according to the instructions that make up the software module.

Consistent with the above, in various embodiments, each or any combination of the authority information system is of certification , publisher systems , consumer systems, verification computer system, system, together with the modules and / or services of each of these, each of which sar? referred to individually for clarity as a "component" for the remainder of this paragraph, pu? be implemented using an example of the computing device. In such embodiments, the following applies for each component: (a) are the computing device elements or appropriate combinations or subsets of the foregoing configured, adapted, and/or programmed to implement each or any combination of the actions, activities, or or features described herein as performed by the component and/or any software module described herein as included in the component; (b) alternatively or additionally, to the extent that ? described in this document that one or more? software modules exist within the component, in some embodiments, these software modules (as well as all data described herein as managed and/or used by the software modules) are stored in memory devices (for example, in various forms of embodiment, in a volatile memory device such as a RAM or instruction register and/or in a non-volatile memory device such as a flash memory or hard drive) and all actions described herein as performed by the software modules are performed by the processors together, as appropriate, with other elements of and / or connected to the computing device (that is, the network interface devices, the display interfaces, the user input adapters and / or the display device); (c) alternatively or additionally, to the extent that ? described herein that the component processes and/or otherwise handles data, in some embodiments, that data is stored in memory devices (e.g., in some embodiments, in a volatile memory device such as a RAM and / or in a non-volatile storage device such as a flash memory or hard drive) and / or is processed / managed by the processors together with, as the case may be, other elements and / or connected to the processing device (that is, the devices interface devices, display interfaces, user input adapters and/or display device); (d) Alternatively or additionally, in some embodiments, the memory devices store instructions which, when executed by the processors, do that processors run, in conjunction with, as appropriate, other items in and/or connected to the computing device (i.e., memory devices, network interface devices, display interfaces, computer input adapters, user and/or the display device), each or any combination of actions described herein as performed by the component and/or any software module described herein as included in the component.

The hardware configurations described above are provided as examples, the invention described here can be used in conjunction with a variety? of different architectures and hardware elements. For example: in many of the figures in this document individual function/action blocks are shown; in various embodiments, the functions of those blocks may be implemented using (a) individual hardware circuits, (b) using an application specific integrated circuit (ASIC) specifically configured to perform the described functions/actions, (c) using one or more digital signal processor circuits (DSPs) specifically configured to perform the functions/actions described, (d) using the hardware configuration described above, (e) via other hardware arrangements, architectures and configurations, and/or combinations of the technology described by (a) to (and).

The terms used in the present application are used only to describe specific embodiments and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise.

In this application, terms such as "comprises" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other characteristics. It is understood that the presence or addition of elements, numbers, phases, actions, components, parts or combinations thereof, does not preclude the possibility in advance.

Terms such as first and second can be used to describe various items, but items should not be limited by terms.

Every time that ? described in this document that a given element ? present in "certain embodiments", "various embodiments", "certain embodiments", "certain exemplary embodiments", "an exemplary embodiment", or whenever any other similar language is used , it should be understood that the given element ? present in at least one embodiment, although not necessarily present in all embodiments. Consistent with the foregoing, whenever this document describes that a "pu?", "pu?" or "could" be performed, that a function, element or component "can?", "can?" or "could" be included in or ? applicable to a given context, that a given element "pu?", "pu?" or "may" possess a given attribute, or whenever a similar phrase including the term "pu?", "pu?" or "could"? used, it should be clear that the given action, feature, element, component, attribute, etc. ? present in at least one embodiment, although not necessarily present in all embodiments.

The terms and phrases used in this document and their variations, unless expressly indicated otherwise, are to be interpreted as open rather than limiting. As examples of the above: "and/or" includes all combinations of one or more? of the associated listed items (e.g., a and/or b means a, b, or a and b); the singular forms "a", "an" and "the" should be read as meaning "at least one", "one or more?" or similar; the term ?example? ? used to give examples of the topic under discussion, not an exhaustive or limiting list thereof; and if an element ? described as "optional", that description should not be taken to imply that the other elements are also not optional.

Advantages and features of the present invention and a method for obtaining them will become apparent with reference to embodiments described in detail together with the accompanying drawings and claims.

Therefore, it should be understood that the embodiments described above are illustrative and not limiting in all respects.

Indeed, while process steps, algorithms or the like, including without limitation, may be described or claimed in a particular sequential order, such processes may be configured to operate in different orders. In other words, any sequence or order of steps that can being explicitly described or claimed in this document does not necessarily indicate a requirement that the steps be performed in that order; rather, the steps of the processes described here can be performed in any possible order.

Also, some phases may execute simultaneously (or in parallel) despite being described or implied to be non-simultaneous (for example, because one phase is described after the other phase).

Furthermore, the illustration of a process by its representation in a drawing does not imply that the illustrated process is exclusive of other variations and modifications to the same, it does not imply that the illustrated process or any of its phases are necessary,

While various embodiments have been shown and described in detail, the claims are not limited to any particular embodiment or example.

None of the foregoing descriptions should be read as implying that any particular element, step, interval or function is essential.

All structural and functional equivalents to the elements of the above-described embodiments that are known to those of ordinary skill in the art are expressly incorporated herein by reference and are intended to be understood.

Also, isn't it? It is necessary for a device or method to address every problem that the present invention seeks to solve, why? it can be understood from the invention.

No embodiment, feature, element, component or step in this document ? intended to be dedicated to the public.

Likewise all modifications or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be construed as being within the scope of the present invention.

Claims (1)

Claims 1- Statistical system and method for electronic devices that support internet access for the use of a digital program and platform characterized by a user journey for placing bets through analysis, comparison and exploitation of statistical and historical data related to the initial odds of bookmakers, able to identify the events in which there are greater probabilities? of winning; 2- System and method as per the previous claim with functional integration with a programming language such as python; 3- System and method, as per claim n.1, also configured for placing bets electronically; 4 - System and method, according to the preceding claims, characterized by a modular structure so composed: registration and account creation; data import; statistical processing and editing; large-scale statistical analysis and processing; selecting and placing bets; asset management and budget; 5- System and method, according to claim no. 1, capable of acquiring sporting event data from the outside, analyzing them, using a specific algorithm, on a statistical basis together, in particular, with the historical data of the respective results and the initial quota assigned by the bookmakers, reporting, for each event present, the result of each type of bet analyzed by the system, the favorite team and relative initial odds assigned by the bookmakers; 6- System and method, according to claim n.1, equipped with a user interface configured to be able to check how many times a given sign fails? verified and report the historical frequency of a given sign; 7- System and method, according to claim n.1, equipped with a user interface configured to be able to detect the events not yet played which fall within the previously filtered parameters of interest to the user; 8- System and method, according to claim n.1, equipped with a user interface configured to be able to allow the user to determine the investment quota and the capital risk as a percentage; 9- System and method, according to claim n.1, equipped with a user interface configured to be able to save each bet, the history and the status of the bets on a suitable database; 10- System and method, according to claim n.1, equipped with a user interface configured to be able to generate and send to the user a file in excel format with the list of all the matches which fall within the parameters of interest of the user; 11- System and method, according to claim n.1, capable of allowing the user to set his own objectives according to the budget and the time span available, thus generating an investment program tailored to the user's needs. user and setting the cash out percentage and any stop loss; 12- IT product readable by at least one processor and comprising portions of software code for implementing, by means of said electronic processor, the functions of the device according to any one of the claims.