The home-court advantage in NCAA Division-I men’s basketball

Čabarkapa, Dimitrije; Deane, Michael A.; Ciccone, Anthony B.; Jones, Grant T.; Cabarkapa, Damjana V.; Fry, Andrew C.

doi:10.14198/jhse.2023.182.13

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…Research indicates that shooting efficiency is a crucial factor in determining game outcomes [41][42][43][44][45][46][47]. Shooting accuracy is an important aspect of basketball performance since it measures both individual and collective offensive efficiency [48,49].…”

Section: Discussionmentioning

confidence: 99%

“…Meanwhile, points scored on two-pointers imply poor defense by the losing team's interior players (centers) [60]. Studies on game-related statistics in women's basketball have proven the continued relevance of two-point field goals [43,55]. Research on women's national team tournaments has also indicated that winning teams score more points in the paint, points off opponent turnovers (fast breaks), and second-chance points following successful offensive rebounds [29].…”

Section: Discussionmentioning

confidence: 99%

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The Influence of Game-Related Statistics on the Final Results in FIBA Global and Continental Competitions

Komić,

Simović,

Čaušević

et al. 2024

Applied Sciences

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Sport, particularly in the realm of professional competition, is a domain of human endeavor that is increasingly dependent on the use of analytical statistical information. Consequently, mathematics and statistics are becoming increasingly crucial elements in sports. Although experts recognize the importance of analytics in women’s basketball, the literature addressing this subject remains limited. The objective of this study is to employ quantitative methodologies to discover prevailing patterns in global women’s basketball representation. The entities examined in this article were the games contested during the 2021 Olympic Games, the 2022 World Cup, and the 2023 continental championships. Two regression models were created for the research, using thirteen standard variables observed in the game. The evaluation of the regression model was conducted using the stepwise regression method, incorporating dimensionality reduction based on the outcomes of factor analysis. Among the 14 models that were observed, 13 of them exhibited strong and moderate linkages, while only 1 displayed weak connections and lacked statistical significance. The primary factors that account for the disparity between winning and losing teams in games are primarily associated with shooting accuracy toward the basket. When examining individual championships, the percentage surpassed 50% in all cases except for AfroBasket. However, when considering the overall results, the significance of shooting rose to 86%. The variable representing offensive rebound efficiency had a significant influence on the outcome, being present in all individual competitions, whereas defensive rebound efficiency was only considered in the overall results.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The Influence of Game-Related Statistics on the Final Results in FIBA Global and Continental Competitions

Komić,

Simović,

Čaušević

et al. 2024

Applied Sciences

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“…Data scraping technique was used to obtain publicly available game-related statistics for NCAA Division-I men's basketball 2018–2019 competitive season from https://stats.ncaa.org website (i.e., contest - scoreboard - box score) via ParseHub software (North York, ON, Canada). This research report represents a follow-up analysis based on a previously published manuscript focused on examining the impact of home-court advantage on the same level of competition ( 14 ). The following 18 variables (i.e., team averages) were acquired from the box scores across 5,147 games: field goals made (FGM), field goals attempted (FGA), field goal shooting percentage (FG%), 3-point shots made (3PM), 3-point shots attempted (3PA), 3-point shooting percentage (3P%), free-throws made (FTM), free-throws attempted (FTA), free-throw shooting percentage (FT%), offensive rebounds (ORB), defensive rebounds (DRB), total rebounds (TBR), assists (AS), steals (ST), blocks (BL), turnovers (TO), personal fouls (PF), and points (PTS).…”

Section: Methodsmentioning

confidence: 99%

Game-related statistics that discriminate winning from losing in NCAA Division-I men's basketball

Cabarkapa,

Fry

2024

Front. Sports Act. Living

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The purpose of the present study was to examine differences in game-related statistics between winning and losing game outcomes and determine which performance parameters have the greatest impact in classifying winning from losing game outcomes at the National Collegiate Athletic Association (NCAA) Division-I men's basketball level of competition. The data scraping technique was used to obtain publicly available data over a 2018–2019 season span. The total number of games examined was 5,147. Independent t-tests were used to examine statistically significant differences between winning and losing game outcomes, while a full model discriminant function analysis was used to determine the relative contribution of each game-related statistic and its ability to classify winning from losing game outcomes (p < 0.05). Alongside scoring a greater number of points at the end of the game, the findings of the present study indicate that winning teams: (a) attempted and made more field goals, three-point, and free-throw shots, (b) accumulated more defensive and total rebounds, assists, steals, and blocks, (c) had fewer turnovers and personal fouls, and (d) secured greater field goal, three-point, and free-throw shooting percentage. Moreover, the top three performance parameters discriminating winning from losing game outcomes were field goal percentage, defensive rebounds, and assists, accounting for 16.8%, 12.2%, and 12.0% of the total percentage of explained variance, respectively (i.e., 41.0% combined). Overall, these findings support the expected roles of offensive and defensive game-related statistics and provide further insight into how they work together to optimize the chances of securing the desired game outcome.

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“…Shooting efficiency has been shown to be one of the key performance parameters differentiating winning from losing game outcomes in basketball, ranging from amateur to professional levels of competition [ 1 , 2 , 3 , 4 , 5 , 6 , 7 ]. In a recently published study examining game-related statistics within a cohort of elite women’s basketball players, Madarme [ 8 ] found that successful two-point field goals discriminated winning from losing teams during balanced games played on Under-19 level of competition (i.e., a final score differential <16 points).…”

Section: Introductionmentioning

confidence: 99%

Kinematic Differences Based on Shooting Proficiency and Distance in Female Basketball Players

Cabarkapa,

Philipp

et al. 2023

JFMK

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The purpose of the present study was to examine differences in kinematic characteristics between (a) proficient and non-proficient two-point and three-point shooters, (b) made and missed two-point and three-point shots within a proficient group of shooters, and (c) shots attempted from two-point and three-point shooting distances. Eighteen recreationally active females with previous basketball playing experience attempted 10 two-point (5.10 m) and 10 three-point shots (6.32 m) while facing directly to the basket. To eliminate the possible influence of fatigue, each shot was separated by a 5–10 s rest interval. Participants who made ≥50% of their two-point and ≥40% of their three-point shooting attempts were classified as proficient. A high-definition video camera recording at 30 fps and video analysis software (Kinovea) were used to obtain the kinematic variables of interest during both the preparatory phase (PP) and release phase (RP) of the shooting motion. The results indicate that proficient two-point shooters attained less hip and shoulder flexion during the PP and had greater release height and vertical displacement during the RP. Hip angle differentiated made from missed two-point shots within the proficient group of shooters, with made shots being depicted by less hip flexion. Significantly greater vertical displacement was observed in proficient three-point shooters during the RP. Additionally, the greater elbow and release angles separated made from missed three-point shots within the proficient group of shooters. In response to an increase in shooting distance, hip, knee, ankle, and shoulder angles during the PP all decreased. Moreover, an increase in shooting distance caused a decrease in release angle and an increase in vertical displacement during the RP, while the relative release height remained unchanged.

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The home-court advantage in NCAA Division-I men’s basketball

Cited by 5 publications

References 12 publications

The Influence of Game-Related Statistics on the Final Results in FIBA Global and Continental Competitions

The Influence of Game-Related Statistics on the Final Results in FIBA Global and Continental Competitions

Game-related statistics that discriminate winning from losing in NCAA Division-I men's basketball

Kinematic Differences Based on Shooting Proficiency and Distance in Female Basketball Players

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