![]() ![]() Some teams have players who are able to track stats reliably on the bench, others have to rely on the one and only coach being able to stat and coach at the same time, and sometimes 2-3 assistant coaches track different stats throughout the match.ĭO NOT GET OVERWHELMED! I’m going to make things super simple for you. its OK if your method is different than how you see others taking stats! Some teams track only how points were scored at the end of a rally, others keep track of every single touch and then some even go BEYOND stats with percentages and feedback provided using apps (they can see realtime stats like sideout percentage, etc). FIRST THINGS FIRST: NOT EVERYONE KEEPS STATS THE SAME I’m going to break down some of the more basic statistics for you, so you can feel more confident coaching volleyball, watching volleyball, and talking volleyball. Looking at individual stats can help players understand their strengths and weaknesses, analyze match performance, and in some instances, even help them get recruited.Īlthough stats SEEM intimidating… they don’t have to be! Coaches and parents new to volleyball should not be intimidated by the overwhelming spreadsheets, computations, and volleyball jargon common when discussing volleyball stats. Control charts - X-bar, R-chart, S-chart, IMR-chart, P-chart, C-chart, U-chart, CUSUM-chart.Volleyball stats offer a (mostly) objective look at player and team performance, and can be vital to helping determine appropriate areas of focus for future training, determining optimal rotations, and providing a broad look at team performance overall.Quantile-quantile Q-Q plots for different distributions.Bland-Altman plot with multiple measurements per subject.Sampling (random, periodic, conditional).Report includes: AUC (with confidence intervals), curve coordinates, performance indicators - sensitivity and specificity (with confidence intervals), accuracy, positive and negative predictive values, Youden's J (Youden's index), Precision-Recall plot. Receiver operating characteristic curves analysis (ROC analysis).ĪUC methods - DeLong's, Hanley and McNeil's.LD values (LD50/ED50 and others), cumulative coefficient calculation. Kaplan-Meier (log rank test, hazard ratios).Unit root tests - Dickey–Fuller, Augmented Dickey–Fuller (ADF test), Phillips–Perron (PP test), Kwiatkowski–Phillips–Schmidt–Shin (KPSS test).Tests for heteroscedasticity: Breusch–Pagan test (BPG), Harvey test, Glejser test, Engle's ARCH test (Lagrange multiplier) and White test.Stepwise (forward and backward) regression.Weighted least squares (WLS) regression. ![]() Multivariate linear regression (residuals analysis, collinearity diagnostics, confidence and prediction bands).Wilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's W (coefficient of concordance). Mann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion. Rank correlations (Kendall Tau, Spearman R, Gamma, Fechner).2x2 tables analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.).Within subjects ANOVA and mixed models. ![]()
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