Statistics

   

“PROOF of PRINCIPLE” for Situational Underlying Value (Suv) – a Statistic to Measure Clutch Performance by Individuals in the Team Sports of Major League Baseball, Professional Football (NFL) and Ncaa Men’s College Basketball (Part 3)

Authors: Raymond HV Gallucci

NOTE: Due to size limitations, this has been published in three separate parts, with the abstract and references to all three parts included with each. This is Part 3, directed exclusively to NCAA Men’s College Basketball. In Situational Underlying Value for Baseball, Football and Basketball – A Statistic (SUV) to Measure Individual Performance in Team Sports, an all-encompassing, overall statistic to measure “clutch” performance by individual players in the team sports of major league baseball, professional football (NFL), and NCAA men’s college basketball was developed, called “Situational Underlying Value” (SUV). This work supplements and extends the development and initial demonstrations of the use of the SUV statistic for these three team sports by tracking the performance of three specific teams in these three sports over a significant portion of their most recent seasons: (1) for major league baseball, 54 of the 162 games played by the Seattle Mariners in 2017; (2) for professional football, five of the 16 games played by the Seattle Seahawks in 2017; and (3) for NCAA Men’s College Basketball, the five games played by the Loyola of Chicago Ramblers in the 2018 NCAA Division I Men’s Basketball Tournament. The SUV statistics for the players who participated in these games are tracked and accumulated for comparison among themselves and, for those who participated in a significant portion of these games, further compared against the traditional statistics for each team over the entire season (or, in the case of the Loyola of Chicago Ramblers, the complete five games of the Basketball Tournament). The goal is to examine the efficacy of this one overarching statistic, the SUV, in representing player performance “in the clutch” vs. more subjective interpretation of the myriad of different “traditional” statistics currently used. Anomalies between the SUV and “traditional” statistics results are examined and explained, to the extent practicable given the scope of the SUV analysis (partial seasons). Whether or not this effort proves successful is left to the reader’s conclusion based on the results and comparisons performed.

Comments: 31 Pages. Part 3 of Three-Part Document, Separated due to Size Limitation

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Submission history

[v1] 2018-06-27 20:38:10

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