The effects of latency on player performance in cloud-based games

2014 ◽  
Author(s):  
Mark Claypool ◽  
David Finkel
Keyword(s):  
Player Performance

Classifying player positions in second-tier Australian football competitions using technical skill indicators

2021 ◽  
pp. 174795412110102
Author(s):  
Adrian J Barake ◽  
Heather Mitchell ◽  
Constantino Stavros ◽  
Mark F Stewart ◽  
Preety Srivastava
Keyword(s):  
Positional Information ◽  
Multinomial Logistic Model ◽  
Sports Science ◽  
Lower Tier ◽  
Australian Football League ◽  
Australian Football ◽  
Second Tier ◽  
Performance Statistics ◽  
Player Performance ◽  
Player Positions

Efficient recruitment to Australia’s most popular professional sporting competition, the Australian Football League (AFL), requires evaluators to assess athlete performances in many lower tier leagues that serve as pathways. These competitions and their games are frequent, widespread, and challenging to track. Therefore, independent, and reliable player performance statistics from these leagues are paramount. This data, however, is only meaningful to recruiters from AFL teams if accurate player positions are known, which was not the case for the competitions from which most players were recruited. This paper explains how this problem was recently solved, demonstrating a process of knowledge translation from academia to industry, that bridged an important gap between sports science, coaching and recruiting. Positional information which is only available from the AFL competition was used to benchmark and develop scientific classification methods using only predictor variables that are also measured in lower tier competitions. Specifically, a Multinomial Logistic model was constructed to allocate players into four primary positions, followed by a Binary Logit model for further refinement. This novel technique of using more complete data from top tier competitions to help fill informational deficiencies in lower leagues could be extended to other sports that face similar issues.

scholarly journals Effect of Achilles Tendon Rupture on Player Performance and Longevity in Women’s National Basketball Association Players

2021 ◽  
Vol 9 (3) ◽  
pp. 232596712198998
Author(s):  
Joseph S. Tramer ◽  
Lafi S. Khalil ◽  
Patrick Buckley ◽  
Alexander Ziedas ◽  
Patricia A. Kolowich ◽  
...  
Keyword(s):  
Achilles Tendon ◽  
Tendon Rupture ◽  
Achilles Tendon Rupture ◽  
National Basketball Association ◽  
Return To Play ◽  
Control Group ◽  
Healthy Controls ◽  
Career Longevity ◽  
Women's National Basketball Association ◽  
Player Performance

Background:Women’s National Basketball Association (WNBA) players have a greater incidence of lower extremity injury compared with male players, yet no data exist on functional outcomes after Achilles tendon rupture (ATR).Purpose:To evaluate the effect of Achilles tendon repair on game utilization, player performance, and career longevity in WNBA athletes.Study Design:Cohort study; Level of evidence, 3.Methods:WNBA players from 1997 to 2019 with a history of ATR (n = 12) were matched 1:2 to a healthy control group. Player characteristics, game utilization, and in-game performance data were collected for each athlete, from which the player efficiency rating (PER) was calculated. Statistical analysis was performed comparing postinjury data to preinjury baseline as well as cumulative career data. Changes at each time point relative to the preinjury baseline were also compared between groups.Results:Of the 12 players with ATR, 10 (83.3%) returned to play at the WNBA level at a mean (±SD) of 12.5 ± 3.3 months. Four players participated in only 1 WNBA season after injury. There were no differences in characteristics between the 10 players who returned to play after injury and the control group. After return to play, the WNBA players demonstrated a significant decrease in game utilization compared with preinjury, playing in 6.0 ± 6.9 fewer games, starting in 12.7 ± 15.4 fewer games, and playing 10.2 ± 9.1 fewer minutes per game ( P < .05 for all). After the index date of injury, the players with Achilles repair played 2.1 ± 1.2 more years in the WNBA, while control players played 5.35 ± 3.2 years ( P < .01) Additionally, the players with Achilles repair had a significant decrease in PER in the year after injury compared with preinjury (7.1 ± 5.3 vs 11.0 ± 4.4; P = .02). The reduction in game utilization and decrease in PER in these players was maintained when compared with the matched controls ( P < .05 for both).Conclusion:The majority of WNBA players who sustained ATR were able to return to sport after their injury; however, their career longevity was shorter than that of healthy controls. There was a significant decrease in game utilization and performance in the year after return to play compared with healthy controls.

Effect of Pregame Training Tutorials on Player Performance in Kinect-Based Health Games

2014 ◽  
Vol 3 (1) ◽  
pp. 31-39 ◽  
Author(s):  
David Whittinghill ◽  
Jay Hartford ◽  
Jacob Brown ◽  
Michael Hoerter ◽  
Andrew Kennedy ◽  
...  
Keyword(s):  
Player Performance

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.

scholarly journals Coaches’ Evaluations of Match Performance in Academy Soccer Players in Relation to the Adolescent Growth Spurt

2020 ◽  
Vol 2 (4) ◽  
pp. 359-366 ◽  
Author(s):  
Megan Hill ◽  
Sam Scott ◽  
Darragh McGee ◽  
Sean Cumming
Keyword(s):  
Age Groups ◽  
Soccer Players ◽  
Growth Spurt ◽  
Age Group ◽  
Youth Soccer ◽  
Impact Performance ◽  
Rate Of Growth ◽  
Talent Selection ◽  
Selection Decisions ◽  
Player Performance

AbstractIndividual differences in biological maturation present challenges for coaches involved with youth soccer players. Youth in the same chronological age group vary in terms of stage of maturity (pre, circum- and post-pubescent) and rate of growth, but how this affects coaches’ evaluations of player performance is unknown. The aim of this study was to compare youth soccer coaches’ evaluations of players match performances before, during and post growth spurt in a professional English soccer academy across four seasons. Two hundred and seventy-eight male soccer players in the under-9 to under-16 age-groups had their performances evaluated by their coach on a 4-point Likert scale. For each game, players were categorised by their maturity status estimated using percentage of predicted adult height at the time of observation. A one-way ANCOVA controlling for the level of opposition and game outcome revealed that coaches’ evaluations declined from the pre- to during growth spurt stages, however, this was only significant in the under 12 age-group. Further, coaches’ evaluations increased again in the post-growth spurt stage, although only significant in the under 15 age-group. Coaches evaluations of player performance appear to vary in accordance with stage of maturity and rate of growth. Practitioners in youth soccer should understand the extent to which maturity status may adversely impact performance and consider this when making talent selection decisions.

scholarly journals Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation

2018 ◽  
Author(s):  
Guiliang Liu ◽  
Oliver Schulte
Keyword(s):  
Reinforcement Learning ◽  
Empirical Evaluation ◽  
Professional Sports ◽  
Ice Hockey ◽  
New Approach ◽  
The Neural Network ◽  
Overall Performance ◽  
Game Context ◽  
Player Performance ◽  
Q Function

A variety of machine learning models have been proposed to assess the performance of players in professional sports. However, they have only a limited ability to model how player performance depends on the game context. This paper proposes a new approach to capturing game context: we apply Deep Reinforcement Learning (DRL) to learn an action-value Q function from 3M play-by-play events in the National Hockey League (NHL). The neural network representation integrates both continuous context signals and game history, using a possession-based LSTM. The learned Q-function is used to value players' actions under different game contexts. To assess a player's overall performance, we introduce a novel Game Impact Metric (GIM) that aggregates the values of the player's actions. Empirical Evaluation shows GIM is consistent throughout a play season, and correlates highly with standard success measures and future salary.

scholarly journals Research on the specific movement of the head in tennis strokes

2020 ◽  
Vol 28 (80) ◽  
pp. 16-19
Author(s):  
Manuel Fernández López
Keyword(s):  
Tennis Player ◽  
Effective Technique ◽  
The Gaze ◽  
Impact Phase ◽  
Player Performance ◽  
The Impact

Technique is one of the aspects that has the most relevant influence on tennis player performance. Searching for more efficient and effective technique, by means of the application of biomechanical laws, is a constant among coaches and researchers. This article deals with a very concrete subject in tennis technique: the position of the head during the impact phase of tennis strokes. Biomechanical aspects of the strokes will also be considered, as well as other relevant aspects such as fixing the gaze during the stroke and the stretching-shortening cycle.

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