An Investigation of the Relationship Between Mindfulness, Preshot Routine, and Basketball Free Throw Percentage

2009 ◽  
Vol 3 (4) ◽  
pp. 303-319 ◽  
Author(s):  
Amy Gooding ◽  
Frank L. Gardner
Keyword(s):  
Ncaa Division I ◽  
Significant Relationship ◽  
Division I ◽  
Basic Skill ◽  
Men's Basketball ◽  
Free Throw ◽  
The Relationship ◽  
Mindfulness Skill ◽  
Basketball Teams

Seventeen (17) members of three NCAA Division I men’s basketball teams completed measures of mindfulness and sport-related anxiety to examine the relationship between mindfulness, preshot routine, trait arousal, and basketball free throw shooting percentage. It was hypothesized that (a) mindfulness scores would predict game free throw shooting percentage, (b) practice free throw percentage (indicative of basic skill) would predict game free throw percentage, and (c) consistency in the length of prefree throw routine would predict game free throw percentage. Results indicate that levels of mindfulness significantly predict game free throw percentage and that practice free throw percentage also predicts game free throw percentage. Length and/or consistency of preshot routine were not predictive. Although not proposed as a hypothesis, a statistically significant relationship was also found between an athlete’s year in school (which reflects competitive basketball experience) and game free throw percentage. Together, these results clearly suggest that the combination of mindfulness, skill (practice free throw percentage), and competitive experience (year in school) all contribute to the prediction of competitive free throw percentage and that these variables are more central to successful free throw percentage at this level of competition than length/consistency of one’s preshot routine.

Importance of Free-Throws at Various Stages of Basketball Games

1994 ◽  
Vol 78 (1) ◽  
pp. 243-248 ◽  
Author(s):  
Bill Kozar ◽  
Ross E. Vaughn ◽  
Keith E. Whitfield ◽  
Russell H. Lord ◽  
Bobby Dye
Keyword(s):  
Ncaa Division I ◽  
Division I ◽  
Men's Basketball ◽  
Free Throw ◽  
Basketball Coaches

Basketball coaches often refer to their teams' success or failure as a product of their players' performances at the free-throw line. In the present study, play-by-play records of 490 NCAA Division I men's basketball games were analyzed to assess the percentage of points scored from free-throws at various stages of the games. About 20% of all points were scored from free-throws. Free-throws comprised a significantly higher percentage of total points scored during the last 5 minutes than the first 35 minutes of the game for both winning and losing teams. Also, in the last 5 minutes of 246 games decided by 9 points or less and 244 decided by 10 points or more, winners scored a significantly higher percentage of points from free-throws than did losers. Suggestions for structuring practice conditions are discussed.

LAX-Score

2021 ◽  
Vol 5 (3) ◽  
pp. 1-28
Author(s):  
Woosub Jung ◽  
Amanda Watson ◽  
Scott Kuehn ◽  
Erik Korem ◽  
Ken Koltermann ◽  
...  
Keyword(s):  
Ncaa Division I ◽  
Athletic Performance ◽  
High Performance ◽  
Performance Enhancement ◽  
Ground Truth ◽  
Division I ◽  
Sports Science ◽  
Player Performance ◽  
The Relationship ◽  
Game Performance

For the past several decades, machine learning has played an important role in sports science with regard to player performance and result prediction. However, it is still challenging to quantify team-level game performance because there is no strong ground truth. Thus, a team cannot receive feedback in a standardized way. The aim of this study was twofold. First, we designed a metric called LAX-Score to quantify a collegiate lacrosse team's athletic performance. Next, we explored the relationship between our proposed metric and practice sensing features for performance enhancement. To derive the metric, we utilized feature selection and weighted regression. Then, the proposed metric was statistically validated on over 700 games from the last three seasons of NCAA Division I women's lacrosse. We also explored our biometric sensing dataset obtained from a collegiate team's athletes over the course of a season. We then identified the practice features that are most correlated with high-performance games. Our results indicate that LAX-Score provides insight into athletic performance beyond wins and losses. Moreover, though COVID-19 has stalled implementation, the collegiate team studied applied our feature outcomes to their practices, and the initial results look promising with regard to better performance.

Team Performance and National Polls: The 1990–91 Ncaa Division I Basketball Season

1992 ◽  
Vol 74 (3) ◽  
pp. 707-710 ◽  
Author(s):  
Richard F. Ittenbach ◽  
Eric T. Kloos ◽  
J. Douglas Etheridge
Keyword(s):  
Team Performance ◽  
Ncaa Division I ◽  
Division I ◽  
Men's Basketball ◽  
Team Success

Correlations among team indices and postseason rankings for the 64 teams who participated in the 1991 NCAA Division I men's basketball tournament were computed. Two variables, points-per-game and points allowed, emerged as statistically significant correlates with other traditional measures of team success in intercollegiate basketball.

Performance profile of NCAA Division I men’s basketball games and training sessions

2016 ◽  
Vol 33 (2) ◽  
pp. 189-194 ◽  
Author(s):  
Daniele Conte ◽  
Antonio Tessitore ◽  
Katie Smiley ◽  
Cole Thomas ◽  
Terence Favero
Keyword(s):  
Ncaa Division I ◽  
Division I ◽  
Men's Basketball ◽  
And Training

The middle-seed anomaly: why does it occur in some sports tournaments but not others?

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Dale Zimmerman ◽  
Hong Beng Lim
Keyword(s):  
Ncaa Division I ◽  
Functional Form ◽  
Statistical Analyses ◽  
Division I ◽  
Combined Effects ◽  
The Relationship

Abstract Previously published statistical analyses of NCAA Division I Men’s Tournament (“March Madness”) game outcomes have revealed that the relationship between tournament seed and the time-aggregated number of third-round (“Sweet 16”) appearances for the middle half of the seeds exhibits a statistically and practically significant departure from monotonicity. In particular, the 8- and 9-seeds combined appear less often than any one of seeds 10–12. In this article, we show that a similar “middle-seed anomaly” also occurs in the NCAA Division I Women’s Tournament but does not occur in two other major sports tournaments that are similar in structure to March Madness. We offer explanations for the presence of a middle-seed anomaly in the NCAA basketball tournaments, and its absence in the others, that are based on the combined effects of the functional form of the relationship between team strength and seed specific to each tournament, the degree of parity among teams, and certain elements of tournament structure. Although these explanations account for the existence of middle-seed anomalies in the NCAA basketball tournaments, their larger-than-expected magnitudes, which arise mainly from the overperformance of seeds 10–12 in the second round, remain enigmatic.

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