Analysis of performance at the 2007 Cricket World Cup

Analysis of Spatial Offensive Performance in Handball: Differences between Men's and Women's Senior World Championships

The aim of this study was to carry out a descriptive analysis of the main performance variables of national teams that competed in the Men's (Germany-Denmark 2019) and Women's (Germany 2017) senior handball World Cups, and to compare the spatial offensive performance indices of laterality and depth according to the gender of players, considering for this purpose the total number of throws made according to the finishing area. A documentary study was carried out based on the total number of throws made in 192 male and 154 female games of 48 national teams belonging to 33 countries, which participated in previous World Cups. The data were collected from the International Handball Federation (IHF) statistics. The results showed that the areas from which the highest number of shots were taken in both World Cups were the central and shallow areas of the field. Several gender differences were observed. More specifically, male teams made much more attempts from the left side area than female teams (data), who finished from the right side (data). The depth index reflected that, although the dominant execution by gender was from deep offensive zones, men's teams finished more often from the 1st offensive line, while female teams finished from the 2nd offensive line. This information will be useful for coaches in designing training tasks and for players in improving decision making.

Comparing power hitting kinematics between skilled male and female cricket batters

Organismic, task, and environmental constraints are known to differ between skilled male and female cricket batters during power hitting tasks. Despite these influences, the techniques used in such tasks have only been investigated in male cricket batters. This study compared power hitting kinematics between 15 male and 15 female batters ranging from university to international standard. General linear models were used to assess the effect of gender on kinematic parameters describing technique, with height and body mass as covariates. Male batters generated greater maximum bat speeds, ball launch speeds, and ball carry distances than female batters on average. Male batters had greater pelvis-thorax separation in the transverse plane at the commencement of the downswing (β = 1.14; p = 0.030) and extended their lead elbows more during the downswing (β = 1.28; p = 0.008) compared to female batters. The hypothesised effect of gender on the magnitude of wrist uncocking during the downswing was not observed (β = -0.14; p = 0.819). The causes of these differences are likely to be multi-factorial, involving aspects relating to the individual players, their history of training experiences and coaching practices, and the task of power hitting in male or female cricket.

Making Every "Point" Count: Identifying the Key Determinants of Team Success in Elite Men's Wheelchair Basketball

Wheelchair basketball coaches and researchers have typically relied on box score data and the Comprehensive Basketball Grading System to inform practice, however, these data do not acknowledge how the dynamic perspectives of teams change, vary and adapt during possessions in relation to the outcome of a game. Therefore, this study aimed to identify the key dynamic variables associated with team success in elite men's wheelchair basketball and explore the impact of each key dynamic variable upon the outcome of performance through the use of binary logistic regression modeling. The valid and reliable template developed Francis et al. (2019) was used to analyze video footage in SportsCode from 31 games at the men's 2015 European Wheelchair Basketball Championships. The 31 games resulted in 6,126 rows of data which were exported and converted into a CSV file, analyzed using R (R Core Team, 2015) and subjected to a data modeling process. Chi-square analyses identified significant (p < 0.05) relationships between Game Outcome and 19 Categorical Predictor Variables. Automated stepwise binary regression model building was completed using 70% of the data (4,282 possessions) and produced a model that included 12 Categorical Predictor Variables. The accuracy of the developed model was deemed to be acceptable at accurately predicting the remaining 30% of the data (1,844 possessions) and produced an area under the receiver operating characteristic curve value of 0.759. The model identified the odds of winning are more than double when the team in possession are in a state of winning at the start of the possession are increased five-fold when the offensive team do not use a 1.0 or 1.5 classified player, but are increased six-fold when the offensive team use three or more 3.0 or 3.5 players. The final model can be used by coaches, players and support staff to devise training and game strategies that involve selecting the most appropriate offensive and defensive approaches when performing ball possessions to enhance the likelihood of winning in elite men's wheelchair basketball.