EP2391428A1 - Athletic performance rating system - Google Patents
Athletic performance rating systemInfo
- Publication number
- EP2391428A1 EP2391428A1 EP10736485A EP10736485A EP2391428A1 EP 2391428 A1 EP2391428 A1 EP 2391428A1 EP 10736485 A EP10736485 A EP 10736485A EP 10736485 A EP10736485 A EP 10736485A EP 2391428 A1 EP2391428 A1 EP 2391428A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- athlete
- test
- measuring
- athletes
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0616—Means for conducting or scheduling competition, league, tournaments or rankings
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
- A63B2024/0065—Evaluating the fitness, e.g. fitness level or fitness index
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
- A63B2024/0068—Comparison to target or threshold, previous performance or not real time comparison to other individuals
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2225/00—Miscellaneous features of sport apparatus, devices or equipment
- A63B2225/20—Miscellaneous features of sport apparatus, devices or equipment with means for remote communication, e.g. internet or the like
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2225/00—Miscellaneous features of sport apparatus, devices or equipment
- A63B2225/50—Wireless data transmission, e.g. by radio transmitters or telemetry
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2243/00—Specific ball sports not provided for in A63B2102/00 - A63B2102/38
- A63B2243/0037—Basketball
Definitions
- the present disclosure relates to athleticism ratings and related performance measuring systems for use primarily with athletic activities such as training, evaluating athletes, and the like.
- Scouts tour the country viewing potential athletes for particular teams, and many top athletes are recruited site unseen, simply by word of mouth. These methods for evaluating and recruiting athletes are usually hit or miss.
- One method for evaluating and comparing athletes' athleticism involves having the athletes perform a common set of exercises and drills. Athletes that perform the exercises or drills more quickly and/or more accurately are usually considered to be better than those with slower or less accurate performance for the same exercise or drill. For example, "cone drills" are routinely used in training and evaluating athletes. In a typical "cone drill” the athlete must follow a pre-determined course between several marker cones and, in the process, execute a number of rapid direction changes, and/or switch from forward to backward or lateral running.
- NBA National Basketball League
- athletes are subjected to a series of tests that are intended to illustrate the abilities of each player so each NBA franchise can make an informed decision on draft day when selecting players. While such tests provide each NBA franchise a snap shot of a given player's ability on a particular test, none of the tests are compiled such than an overall athleticism rating and/or ranking is provided.
- the test results are simply discrete data points that are viewed in a vacuum without considering each test in light of the other tests.
- test scores provide little benefit to up-and-coming collegiate, high school, and youth athletes, as pre-draft test results are not easily scaled and cannot therefore be utilized by collegiate, high school, and youth athletes in judging their abilities and comparing their skills to prospective and current NBA players.
- Embodiments of the present invention relate to methods of rating the performance of an athlete.
- the present invention is directed to an athleticism rating method for normalizing and more accurately comparing overall athletic performance of at least two athletes.
- Each athlete completes at least two different athletic performance tests.
- Each test is designed to measure a different athletic skill that is needed to compete effectively in a defined sport.
- the results from each test for a given athlete are normalized by comparing the test results to a database providing the distribution of test results among a similar class of athletes and then assigning each test result a point number based on that test result's percentile among the distribution of test results.
- Combining the point numbers derived from the at least two different athletic performance tests for an athlete produces an athleticism rating score representing the overall athleticism of each athlete.
- the athletic performance tests may include measuring a no-step vertical jump height of an athlete, measuring an approach jump reach height of the athlete, measuring a sprint time of the athlete over a predetermined distance, and measuring a cycle time of the athlete around a predetermined course.
- the method may further include referencing the no-step vertical jump height, the approach jump reach height, the timed sprint, and the cycle time to at least one look-up table for use in generating the athleticism rating score.
- a scaling factor may also be applied to the calculated athleticism rating score of each athlete to allow the rating scores among a group of tested athletes to fall within a desired range.
- FIG. 1 illustrates a flow chart of an athleticism rating system in accordance with the principles of the present disclosure
- FIG. 2 illustrates a user interface of a data collection card for use with the athleticism rating method of FIG. 1
- FIG. 3 is a schematic representation of a testing facility and test configuration for use with the athleticism rating system of FIG. 1;
- FIG. 4 is a perspective view of an athlete demonstrating a no-step vertical jump test in accordance with the principles of the present disclosure
- FIG. 5 is a perspective view of a test apparatus for use in determining a max touch reach height in accordance with the principles of the present disclosure
- FIG. 6 is a perspective view of the test apparatus of FIG. 5 showing an athlete demonstrating a max-touch test in accordance with the principles of the present disclosure
- FIG. 7 is a schematic representation of a test setup for use in determining lane agility in accordance with the principles of the present disclosure
- FIG. 8 is a perspective view of an athlete demonstrating a two-handed heave of a medicine ball for use in determining a kneeling power ball toss in accordance with the principles of the present disclosure
- FIG. 9 is a perspective view of an athlete performing a multi-stage hurdle test in accordance with the principles of the present disclosure
- FIG. 10 is an exemplary performance guide in accordance with the principles of the present disclosure
- FIG. 11 is a table showing one example of data collected during a test event for basketball
- FIG. 12 is an exemplary look-up table for a female athlete's no-step vertical jump for basketball
- FIG. 13 is an exemplary graph showing no-step vertical jump data observed in the field for a number of female athletes tested for basketball;
- FIG. 14 is a table showing "w-scores" for an exemplary female athlete applicable to basketball
- FIG. 15 is a table showing "w-scores” for an exemplary female athlete applicable to basketball
- FIG. 16 is a flow diagram illustrating an exemplary method for generating an athleticism rating score, in accordance with an embodiment of the present invention.
- FIG. 17 is a block diagram of an exemplary computing environment suitable for use in implementing embodiments of the present invention.
- FIG. 18 is another embodiment of an exemplary performance in accordance with the principles of the present disclosure for use in generating an athleticism rating for fastpitch softball;
- FIG. 19 is a table showing one example of data collected during a test event for fastpitch softball
- FIG. 20 is an exemplary look-up table for a female athlete's vertical jump for fastpitch softball
- FIG. 21 is an exemplary graph showing vertical jump data observed in the field for a number of female athletes tested for fastpitch softball
- FIG. 22 is a table showing "w-scores" for an exemplary female athlete applicable to fastpitch softball.
- FIG. 21 is a table showing "w-scores" for an exemplary female athlete applicable to fastpitch softball.
- Embodiments of the present invention relate to methods of rating the performance of an athlete.
- the present invention is directed to an athleticism rating method for normalizing and more accurately comparing overall athletic performance of at least two athletes.
- Each athlete completes at least two different athletic performance tests.
- Each test is designed to measure a different athletic skill that is needed to compete effectively in a defined sport.
- the results from each test for a given athlete are normalized by comparing the test results to a database providing the distribution of test results among a similar class of athletes and then assigning each test result a point number based on that test result's percentile among the distribution of test results.
- Combining the ranking numbers derived from the at least two different athletic performance tests for an athlete produces an athleticism rating score representing the overall athleticism of each athlete.
- a method 10 for rating athleticism is provided and includes conducting at least two different athletic tests designed to assess the athletic ability and/or performance of a given athlete by generating an overall athleticism rating score for the athlete.
- each test is designed to measure a different athletic skill that is needed to compete effectively in a defined sport.
- the athleticism rating method 10 includes conducting four discrete tests, which may be used to determine a male athlete's overall athleticism rating.
- the athleticism rating method 10 includes conducting six discrete tests that may be used to determine a female athlete's overall athleticism rating, as it pertains to the sport of basketball.
- An exemplary test facility and configuration is schematically illustrated in FIG. 3.
- the test facility and equipment used in measuring and collecting test data may be of the type disclosed in Assignee's commonly owned U.S. Patent Application Serial No. 11/269,161, filed on November 7, 2005, the disclosure of which is incorporated herein by reference in its entirety.
- the testing process for determining the overall athleticism of an athlete may be initiated at step 12 by first determining whether the subject athlete is male or female at step 14. If the subject athlete is male, the body weight of the athlete is measured at step 16 and may be recorded on a data collection card, as shown in FIG. 2. Following measurement of the body weight, a no-step vertical jump test is performed by the athlete at step 18.
- the no-step vertical jump test generally reveals an athlete's development of lower-body peak power and is performed on a court or other hard flat, level surface.
- the athlete performs a counter-movement vertical jump by squatting down and jumping up off two feet while utilizing arm swing to achieve the greatest height (FIG. 4).
- a measurement of the vertical jump may be recorded on the physical or electronic data collection card (FIG. 2).
- a peak power of the athlete may be calculated at step 20.
- the calculated peak power may also be displayed and recorded along with the body weight and no-step vertical jump of the athlete on the data collection card.
- the no-step vertical jump measures the ability of an athlete in jumping vertically from a generally standing position.
- the athleticism rating method 10 also includes measuring an approach jump, which allows an athlete to move-either by running or walking-toward a target to assess the athlete's functional jumping ability.
- a scale such as, for example, a tape measure
- a structure such as, for example, a backboard.
- the athlete is allowed to approach the scale from within a substantially fifteen-foot arc and jump from either one or two feet extending one arm up toward the scale to determine the highest reach above a floor.
- the approach jump reach height may be read either visually or by way of an electronic sensor based on the position of the athlete's hand relative to the scale and may be recorded at step 22 as a "max touch" of the athlete.
- the max touch may be recorded on the data collection card of FIG. 2.
- the athlete may be subjected to a timed sprint over a predetermined distance.
- the athlete performs a sprint over approximately seventy-five feet, which is roughly equivalent to three- quarters of a length of a basketball court.
- the time in which the athlete runs the predetermined distance is measured at step 24 and may be recorded on the data collection card of FIG. 2.
- an agility of the athlete may be determined by timing the athlete as the athlete maneuvers through a predetermined course.
- the course is a substantially sixteen-foot by nineteen-foot box, which is roughly the same size as the "paint" or "box" of a basketball court.
- Timing the athlete's ability to traverse the paint provides an assessment as to the overall agility of the athlete.
- the athlete may be required to run a single cycle or multiple cycles around the box.
- a measurement of the time in which the athlete performs the cycles around the box may be measured at step 26 and recorded in the data collection sheet.
- FIG. 8 provides an example of a test setup that an athlete may use to heave a medicine ball for use in determining the kneeling power ball toss rating. Specifically, the athlete begins the test from a kneeling position and heaves a medicine ball of a predetermined weight. In one configuration, the medicine ball is three kilograms and is generally heaved by the athlete from the kneeling position using two hands. The overall distance of travel of the medicine ball may be recorded on the data collection sheet.
- the multi-stage hurdle test is performed by requiring the athlete to jump continuously over a hurdle during a predetermined interval, as shown in FIG. 9.
- the number of two-footed jumps are recorded while the athlete jumps over a twelve-inch tall hurdle during two intervals of twenty seconds, which may be separated by a single rest interval of ten seconds.
- the number of two-footed jumps that are landed may be recorded as the multi-stage hurdle rating on the data collection sheet.
- the male athletes may be required to perform the kneeling power ball toss and the multi-stage hurdle and while such data may be useful and probative of the overall athletic ability of the athlete, the data from the kneeling power ball toss and the multi-stage hurdle may not be used in determining the overall athleticism rating.
- the results from each test for a given athlete are normalized by comparing the test results to a database providing the distribution of test results among a similar class of athletes and then assigning each test result a ranking number based on that test result's percentile among the normal distribution of test results.
- the peak power, max- touch, three-quarter court sprint, and lane agility data may be referenced in a single table or individual look-up tables corresponding to peak power, max touch, three-quarter court sprint, and lane agility at step 32.
- the look-up tables may contain point values that are assigned based on the score of the particular test (i.e., peak power, max-touch, three-quarter court sprint, and lane agility).
- the assigned point values may be recorded at step 34.
- the point values assigned by the look-up tables may be scaled and combined at step 36 for use in generating an overall athleticism rating at 38. The process is further described with reference to FIG. 16.
- the no-step vertical jump is recorded at step 40.
- the no-step vertical jump test generally reveals an athlete's development of lower-body peak power and is performed on a court or other hard flat, level surface. The athlete performs a counter-movement vertical jump by squatting down and jumping up off two feet while utilizing arm swing to achieve the greatest height (FIG. 4).
- the max touch of the female athlete is measured at 42 and the three-quarter court sprint is measured at step 44.
- Lane agility is measured at step 46 and is used in conjunction with the no-step vertical jump, max touch, and three-quarter court sprint in determining the overall athleticism rating of the female athlete.
- the female athlete is subjected to the kneeling power ball toss test at step 48 and the multi-stage hurdle test at step 50. While the test is performed in the same fashion for the female athletes as with the male athletes — as shown in FIG. 8 — the female athletes may use a lighter medicine ball. In one configuration, the male athletes use a three kilogram medicine ball while the female athletes use a two kilogram medicine ball.
- the peak power may not be used in determining the female athlete's overall athleticism rating. While the peak power may not be used in determining the female athlete's overall athleticism rating, the no-step vertical jump height, kneeling power ball toss, and multi-stage hurdle are referenced and used to determine the overall athleticism rating, as set forth above.
- An exemplary look-up table is provided at FIG. 10 and provides performance ratings for female athletes for each of a series of tests.
- the look-up tables may be determined by measuring and recording normative test data over hundreds or thousands of athletes.
- the normative data may be sorted by tests to map the range of performance and establish percentile rankings and thresholds for each test value observed during testing of the athletes.
- the tabulated rankings may be scored and converted into points using a statistical function to build each scoring look-up table for each particular test (i.e., peak power, max- touch, three-quarter court sprint, and lane agility).
- test data may be referenced on the look-up table for determining an overall athleticism rating.
- a single athlete's sample test data may be retrieved from the data collection card and may then be ranked, scored, and scaled to yield an overall athleticism rating.
- Test data collected in the field at a test event is entered, for example, via a handheld device (not shown) to be recorded in a database and may be displayed on the handheld device or remotely from the handheld device in the format shown in FIG. 2. Two trials may be allowed for each test, except multi-stage hurdle (MSH) which is one trial comprising two jump stages.
- MSH multi-stage hurdle
- FIG. 11 provides an example of collected data.
- the best result from each test is translated into fractional event points by referencing the test result in the scoring (lookup) table provided for each test.
- the scoring (lookup) table provided for each test.
- the no-step vertical jump is a test, but peak power (as derived from body weight and no- step vertical jump height) is the scored event.
- a look-up table for no-step vertical jump for a female athlete (upper end of performance range) is provided in FIG. 12 to illustrate one example of a look-up table.
- Each possible test result corresponds to an assigned rank and fractional event points.
- the rank assigned to each test result may be derived from normative data previously collected for hundreds of teenage female basketball players at various events around the country. This normative data is sorted and each value transformed into its percentile of the empirical cumulative distribution function (eCDF). This percentile, or rank, depends on the raw test measurements (norm data) and is a function of both the size of the data set and the component test values.
- the above athleticism scoring system includes two steps: normalization of raw scores and converting normalized scores to accumulated points. Normalization is a prerequisite for comparing data from different tests. Step 1 ensures that subsequent comparisons are meaningful while step 2 determines the specific facets of the scoring system (e.g., is extreme performance rewarded progressively or are returns diminishing). Because the mapping developed in step 2 converts standardized scores to points, it never requires updating and applies universally to all tests - regardless of sport and measurement scale. Prudent choice of normalization and transformation functions provides a consistent rating to value performance according to predetermined properties.
- z-score represents the (signed) number of standard deviations between the observation and the mean value.
- ECDF empirical cumulative distribution function
- the ECDFs calculated in step 1 provide a common scale by which to compare results from disparate tests, the ECDFs are inappropriate for scoring performance because they do not award points consistently with progressive rewards and percentile
- the above function relies on two parameters ( ⁇ and >) and produces scoring curves that are qualitatively similar to the two-parameter power-law applied to raw scores.
- the parameters ⁇ and > were chosen to satisfy approximately the following four rules governing the relationship between percentile of performance and points awarded:
- the 10th percentile should achieve roughly ten percent of the nominal maximum.
- the 50th percentile should achieve roughly thirty percent of the nominal maximum. 3.
- the 97.7th percentile should achieve roughly one hundred percent of the nominal maximum.
- the 99.9th percentile should achieve roughly one hundred twenty-five percent of the nominal maximum.
- the bin label corresponds to the lower bound, e.g., the bin labeled 90 contains measurements from the interval (90, 100).
- a "ceiling" and a "floor” value is determined, which represent the boundaries of scoring for each test. Any test value at or above the ceiling earns the same number of event points. Likewise, any test value at or below the floor earns the same number of event points. These boundaries serve to keep the rating scale intact. The ceiling limits the chance of a single exceptional test result skewing an athlete's rating, thereby masking mediocre performance in other tests.
- Each rank is transformed to fractional event points using a statistical function, as set forth above with respect to the Inverse Weibull Transformation.
- the scoring curve of event points is shown for girls' no-step vertical jump in FIG. 13, as indicated therein, where the points are displayed as percentages, i.e., 0.50 points (awarded for a jump of 18.1 inches) are shown as fifty percent.
- These fractional event points are also referred to as the w- score ("w" for Weibull).
- the Inverse Weibull Transformation can process non-normal (skewed) distributions of test data, as described above.
- the transformation also allows for progressive scoring at the upper end of the performance range. Progressive scoring assigns points progressively (more generously) for test results that are more exceptional. This progression is illustrated in FIG. 13 for jumps higher than 26 inches, where the red curve gets progressively steep and the individual data points more distinct. Progressive scoring allows for accentuation of elite performance, thus making the rating more useful as a tool for talent identification.
- FIG. 12 identifies a sample athlete, "Andrea White” who jumped 26.5 inches during a no-step vertical jump. This value corresponds to w-score of 1.078. The w-scores for all of her tests are found by referencing those tests' respective look-up tables. These w- scores are shown in FIG. 14.
- the "event scaling factor” is determined for each rating by the number of rated events and desired rating range. Ratings should generally fall within a range of 10 to 110. A boys' scaling factor is 25, for example, as the rating comprises four variables: Peak Power, Max Touch, Lane Agility, and three-quarter Court Sprint.
- her w-score total would yield a rating of almost 130 (129.85).
- Table 1 outlines an exemplary test order for each of the above tests and assigns a time period in which each test should be run.
- Assessing each of the various scores for each test provides the athlete with an overall athleticism rating, which may be used by the athlete in comparing their ability and/or performance to other athletes within their age group. Furthermore, the athlete may use such information to compare their skill set with those of NBA or WNBA players to determine how their skill set compares with that of a professional basketball player.
- an exemplary method 100 for generating an athleticism rating score is illustrated.
- An athleticism rating score can be generated for a particular athlete in association with a defined sport, such as basketball. Such an athleticism rating score can then be used, for example, to recognize athleticism of an individual and/or to compare athletes.
- athletic performance data related to a particular sport is collected for a group of athletes.
- Athletic performance data might include, by way of example, and not limitation, a no- step vertical jump height, an approach jump reach height, a sprint time for a predetermined distance, a cycle time around a predetermined course, or the like.
- Athletic performance data can be recorded for a group of hundreds or thousands of athletes.
- Such athletic performance data can be stored in a data store, such as database 212 of FIG. 17.
- the collected athletic performance data such as athletic performance test results
- athletic performance test results e.g., raw test results
- raw test results for each athlete can be standardized in accordance with a common scale. Normalization enables a comparison of data corresponding with different athletic tests.
- a normalized athletic performance datum is a percentile of the empirical cumulative distribution function (ECDF).
- ECDF empirical cumulative distribution function
- any method can be utilized to obtain normalized athletic performance data (i.e., athletic performance data that has been normalized).
- the normalized athletic performance data is utilized to generate a set of ranks.
- the set of ranks includes an assigned rank for each athletic performance test result included within a scoring table.
- a scoring table e.g., a lookup table
- Each athletic performance test result within a scoring table corresponds with an assigned rank and/or a fractional event point number.
- the athletic performance data is sorted and a percentile of the empirical cumulative distribution function (ECDF) is calculated for each value.
- ECDF empirical cumulative distribution function
- the percentile of the empirical cumulative distribution function represents a rank for a specific athletic performance test result included in the scoring table.
- each athletic performance test result is assigned a ranking number based on that test result's percentile among the normal distribution of test results.
- the rank (e.g., percentile) depends on the raw test measurements and is a function of both the size of the data set and the component test values.
- a scoring table might include observed athletic performance test results and unobserved athletic performance test results.
- a rank that corresponds with an unobserved athletic performance test result can be assigned using interpolation of the observed athletic performance test data.
- a fractional event point number is determined for each athletic performance test result.
- a fractional event point number for a particular athletic performance test result is determined or calculated based on the corresponding assigned rank. That is, the set of assigned ranks, or percentiles, is transformed into an appropriate point scale.
- a statistical function such as an inverse- Weibull transformation, provides such a transformation.
- a scoring table (e.g., a lookup table) includes a set of athletic performance test results, or possibilities thereof. Each athletic performance test result within a scoring table corresponds with an assigned rank and/or a fractional event point number.
- a single scoring table that includes data associated with multiple tests and/or sports can be generated.
- multiple scoring tables can be generated. For instance, a scoring table might be generated for each sport or for each athletic performance test.
- One or more scoring tables, or a portion thereof (e.g., athletic test results, assigned ranks, fractional event point numbers, etc.) can be stored in a data store, such as database 212 of FIG. 17.
- athletic performance data in association with a particular athlete is referenced (e.g., received, obtained, retrieved, identified, or the like). That is, athletic performance test results for a plurality of different athletic performance tests are referenced.
- the set of athletic tests can be predefined in accordance with a particular sport or other physical activity.
- An athletic performance test is designed to assess the athletic ability and/or performance of a given athlete and measures an athletic performance skill related to a particular sport or physical activity.
- the referenced athletic performance data can be measured and collected in the field at a test event. Such data can be entered via a handheld device (e.g., remote computer 216 of FIG. 17) or other computing device (e.g., control server 210 of FIG.
- the data can be stored within a data store of the device that receives the input (e.g., remote computer 216 or control server 210 of FIG. 17).
- the data can be stored within a data store remote from the device that receives the input.
- the device receiving the data input communicates the data to the remote data store or computing device in association therewith.
- an evaluator can enter athletic performance data, such as athletic performance test results, into a handheld device.
- the data can be transmitted to a control server (e.g., control server 210 of FIG.
- a fractional event point number that corresponds with each test result of the athlete is identified. Using a scoring table, a fractional event point number can be looked up or recognized based on the athletic performance test result for the athlete. In embodiments, the best result from each test is translated into a fractional event point number by referencing the test result in the lookup table for each test.
- method 100 generally describes generating a scoring table having a rank and a fractional event point number that corresponds with each test result to use to lookup a fractional event point number for a specific athletic performance test result
- alternative methods can be utilized to identify or determine a fractional event point number for a test result. For instance, in some cases, upon receiving an athlete's test results, a rank and/or a fractional event point number could be determined.
- an algorithm can be performed in real time to calculate a fractional event point number for a specific athletic performance test result.
- an athletic performance test result for a particular athlete can be compared to a distribution of test results of athletic data for athletes similar to the athlete, and a percentile ranking for the test result can be determined. Thereafter, the percentile ranking for the test result can be transformed to a fractional event point number.
- the fractional event point number for each relevant test result for the athlete is combined or aggregated to arrive at a total point score. That is, the fractional event point number for each test result for the athlete is summed to calculate the athlete's total point score.
- the total point score is multiplied by an event scaling factor to produce an overall athleticism rating.
- An event scaling factor can be determined using the number of rated events and/or desired rating range.
- Athletic data associated with a particular athlete such as athletic test results, ranks, fractional event point numbers, total point values, overall athleticism rating, or the like, can be stored in a data store, such as database 212 of FIG. 17.
- an athletic performance information computing system environment an athletic performance information computing system environment, with which embodiments of the present invention may be implemented is illustrated and designated generally as reference numeral 200.
- reference numeral 200 an athletic performance information computing system environment
- the illustrated athletic performance information computing system environment 200 is merely an example of one suitable computing environment and is not intended to suggest any limitation as to the scope of use or functionality of the invention. Neither should the athletic performance information computing system environment 200 be interpreted as having any dependency or requirement relating to any single component or combination of components illustrated therein.
- the present invention may be operational with numerous other general purpose or special purpose computing system environments or configurations.
- Examples of well-known computing systems, environments, and/or configurations that may be suitable for use with the present invention include, by way of example only, personal computers, server computers, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above- mentioned systems or devices, and the like.
- the present invention may be described in the general context of computer- executable instructions, such as program modules, being executed by a computer.
- program modules include, but are not limited to, routines, programs, objects, components, and data structures that perform particular tasks or implement particular abstract data types.
- the present invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network.
- program modules may be located in association with local and/or remote computer storage media including, by way of example only, memory storage devices.
- the exemplary athletic performance information computing system environment 200 includes a general purpose computing device in the form of a control server 210.
- Components of the control server 210 may include, without limitation, a processing unit, internal system memory, and a suitable system bus for coupling various system components, including database cluster 212, with the control server 210.
- the system bus may be any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, and a local bus, using any of a variety of bus architectures.
- control server 210 typically includes therein, or has access to, a variety of computer-readable media, for instance, database cluster 212.
- Computer-readable media can be any available media that may be accessed by server 210, and includes volatile and nonvolatile media, as well as removable and non-removable media.
- computer-readable media may include computer storage media.
- Computer storage media may include, without limitation, volatile and nonvolatile media, as well as removable and non-removable media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, program modules, or other data.
- computer storage media may include, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVDs) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage, or other magnetic storage device, or any other medium which can be used to store the desired information and which may be accessed by the control server 210.
- communication media includes wired media such as a wired network or direct- wired connection, and wireless media such as acoustic, RF, infrared, and other wireless media. Combinations of any of the above also may be included within the scope of computer-readable media.
- the computer storage media discussed above and illustrated in FIG. 17, including database cluster 212, provide storage of computer-readable instructions, data structures, program modules, and other data for the control server 210.
- the control server 210 may operate in a computer network 214 using logical connections to one or more remote computers 216.
- Remote computers 216 may be located at a variety of locations in an athletic training or performance environment.
- the remote computers 216 may be handheld computing devices, personal computers, servers, routers, network PCs, peer devices, other common network nodes, or the like, and may include some or all of the elements described above in relation to the control server 210.
- the devices can be personal digital assistants or other like devices.
- Exemplary computer networks 214 may include, without limitation, local area networks (LANs) and/or wide area networks (WANs). Such networking environments are commonplace in offices, enterprise-wide computer networks, intranets, and the Internet.
- the control server 210 may include a modem or other means for establishing communications over the WAN, such as the Internet.
- program modules or portions thereof may be stored in association with the control server 210, the database cluster 212, or any of the remote computers 216.
- various application programs may reside on the memory associated with any one or more of the remote computers 216. It will be appreciated by those of ordinary skill in the art that the network connections shown are exemplary and other means of establishing a communications link between the computers (e.g., control server 210 and remote computers 216) may be utilized.
- an athletic performance evaluator may enter commands and information into the control server 210 or convey the commands and information to the control server 210 via one or more of the remote computers 216 through input devices, such as a keyboard, a pointing device (commonly referred to as a mouse), a trackball, or a touch pad.
- input devices such as a keyboard, a pointing device (commonly referred to as a mouse), a trackball, or a touch pad.
- Other input devices may include, without limitation, microphones, satellite dishes, scanners, or the like. Commands and information may also be sent directly from an athletic performance device to the control server 210.
- the control server 210 and/or remote computers 216 may include other peripheral output devices, such as speakers and a printer.
- control server 210 and the remote computers 216 are not shown, those of ordinary skill in the art will appreciate that such components and their interconnection are well known. Accordingly, additional details concerning the internal construction of the control server 210 and the remote computers 216 are not further disclosed herein.
- different tests may be administered to determine an athlete's athleticism for a different sport.
- the method may involve testing athletes in four discrete tests that may be used to determine a female's overall athleticism for this sport.
- the athletic performance tests may include measuring vertical jump of an athlete, measuring total time to complete an agility shuttle, measuring sprint time of the athlete over a 20-yard distance and measuring the distance of a rotational power ball throw.
- the vertical jump is a standing a no-step vertical jump similar to the jump described above.
- the 20-yard dash is timed sprint.
- the agility shuttle is a 5-10-5 agility test. Three cones (lines or other obstacles) are placed in a line at distances of five yards from one another. The athlete begins at the center cone while touching the cone with one hand. The athlete is not allowed to face or lean toward either of the outside cones at the start. Upon movement, the athlete sprints to the outside cone opposite the hand initially touching the cone. The athlete touches this outside cone, reverses directions and sprints to the other outside cone. Once this cone is touched, the athlete changes directions again and sprints past the center cone. The measured time begins when the athlete removes her hand from the center cone and ends when the athlete runs past the center cone.
- the rotational power ball throw may be conducted with a three kilogram power ball.
- the athlete begins by standing perpendicular to a start line similar to a hitting stance in softball.
- the athlete may step on or touch the starting line but may not step over the line.
- the ball is cradled in two hands with the athlete's backhand (palm facing the start line) on the back of the ball and the front hand under the ball.
- the ball is drawn back while maintaining the ball between the athlete's waist and chest.
- the athlete's arms should be fully extended with only a slight bend in the elbow.
- the athlete rotates her body to sing the ball forward, optimally, at a forty-five degree angle.
- the motion simulates the swing of a bat in softball.
- the athlete finishes with her arms extended.
- the athlete may follow through but her feet shall not extend beyond the line until the ball is released. The distance the ball travels is measured.
- the athletic data are captured similarly to the methods for collecting basketball testing data.
- the data may be entered into a handheld computing device. Two trials may be allowed for each test, and the best result used to formulate the rating as set forth below.
- the best result from each test is translated into fractional event points by referencing the test result in the scoring (lookup) table.
- An exemplary look-up table is provided at FIG. 18 and provides a performance rating for a female athlete for each of a series of tests. Similar to the table (FIG. 10) for basketball, the look-up table may be determined by measuring and recording normative test data over hundreds or thousands of athletes, and sorted by tests to map the range of performance and establish percentile rankings and thresholds for each test value observed during testing of the athletes. Also, as described above, the tabulated rankings may be scored and converted into points using a statistical function to build each scoring look-up table for each particular test (i.e., vertical jump, agility shuttle, 20-yard dash and rotational power ball throw).
- FIG. 19 provides an example of collected data.
- VJ vertical jump (inches); Agility Shuttle (seconds); 20-yard Dash (seconds); RoPB Throw (feet).
- VJ vertical jump (inches); Agility Shuttle (seconds); 20-yard Dash (seconds); RoPB Throw (feet).
- VJ vertical jump (inches); Agility Shuttle (seconds); 20-yard Dash (seconds); RoPB Throw (feet).
- the rank assigned to each test may be derived from normative data that are sorted and transformed into its percentile of the eCDF function.
- norm data Once the norm data has been collected and sorted as described in detail above, its eCDF is scatter plotted to reveal a performance curve. For example, vertical jump data observed in the field observed for 1343 girls are shown in the curve of FIG. 21 as blue diamonds. For those results not observed, that value's rank is assigned by interpolation; the unobserved points requiring assigned ranks are show as yellow triangles in FIG. 21. Ceiling and floor values are established as set forth above.
- each rank is transformed to fractional event points using a statistical function, i.e., the Inverse Weibull Transformation.
- the scoring curve of event points for the vertical jump is shown in red circles on FIG. 21, where the points are displayed as percentages, i.e., 0.50 points awards for 61 st percentile jump of 19.1 inches shown as 50% for girls fastpitch softball.
- the fractional points are the w-score.
- the Inverse Weibull Transformation can process non- normal (skewed) distributions of test data, and allows for progressive scoring to accentuate elite performance as demonstrated by the steepness of the w-score curve between 26 inches and 27 inches.
- the "event scaling factor" is determined for each rating by the number of rated events and desired rating range. Ratings should generally fall within a range of 10 to 110. Were a female athlete to "hit the ceiling” on all four tests (shown in FIG. 23), her w- score total would yield a rating of 157.44 (or 5.248 x 30). In an embodiment, a ceiling (i.e., 120) may be imposed to limit the overall score for extreme outliers. In another embodiment, different tests may be administered to determine an athlete's athleticism for football.
- the athletic performance tests may include measuring vertical jump of an athlete, measuring total time to complete an agility shuttle, a kneeling powerball toss, measuring sprint time of the athlete over a 40-yard distance and a peak power- vertical jump.
- the agility shuttle is described above, and 40-yard dash is similar to the 20-yard dash described above.
- the kneeling powerball toss is performed by heaving a 3 kg power ball from the chest while in a kneeling position. The movement resembles a two- handed chest pass in basketball except while kneeling and with a prescribed ball trajectory of 30-40 degrees above level for the greatest distance.
- the power-vertical jump gauges lower body peak power and incorporates weight in combination with vertical.
- a contact mat is utilized to determine the vertical height of the jump.
Abstract
Description
Claims
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CN102333574A (en) | 2012-01-25 |
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