Performance analysis in won and lost matches and the predictors of goal difference and match outcome in Women’s Handball European Championship 2022
Abstract The aim of this study is determine whether there are differences in performance analysis in matches won and lost at the 2022 European Women’s Handball Championship, and which actions are predictors of goal difference and match outcome. The analysis included 44 matches. The Student’s t-test...
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Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-00699-8 |
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| author | Paweł Krawczyk Anna Kupczak Joanna Pergoł Aleksandra Julia Hejnosz |
| author_facet | Paweł Krawczyk Anna Kupczak Joanna Pergoł Aleksandra Julia Hejnosz |
| author_sort | Paweł Krawczyk |
| collection | DOAJ |
| description | Abstract The aim of this study is determine whether there are differences in performance analysis in matches won and lost at the 2022 European Women’s Handball Championship, and which actions are predictors of goal difference and match outcome. The analysis included 44 matches. The Student’s t-test and the Mann-Whitney U test was used to examine differences between winning and losing matches. Multivariate regression and logistic regression analysis was used to determine predictors of goal differences, and match outcome. Winning teams perform fewer positional attacks (d = 0.51) and more fast breaks (η2 = 0.01). Winning teams score significant higher number of goals in attack (d = 1.43), positional attack (d = 1.11), and have a higher efficiency of attack (d = 1.71) and positional attack (η2 = 0.39) throwing. Goalkeepers in winning matches make a significant higher number of defenses (d = 0.79) and have higher overall efficiency (d = 1.27). Predictors of goal differential (increasing it) in matches is efficiency of positional attack (β = 0.61), fast break (β = 0.28), and goalkeeper defenses (β = 0.46). The effectiveness of the attack (OR = 1.55) and goalkeeper’s defenses (OR = 1.24) increase the probability of winning the match, while the number of shots from 9 m (OR = 0.80) decreases it. Specialized handball training should be optimized to increase the number and effectiveness of team and individual actions, which differentiate the outcome of the match. |
| format | Article |
| id | doaj-art-e43c5990b28e4da988bd3c26260beaed |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
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| spelling | doaj-art-e43c5990b28e4da988bd3c26260beaed2025-08-20T02:55:35ZengNature PortfolioScientific Reports2045-23222025-05-0115111010.1038/s41598-025-00699-8Performance analysis in won and lost matches and the predictors of goal difference and match outcome in Women’s Handball European Championship 2022Paweł Krawczyk0Anna Kupczak1Joanna Pergoł2Aleksandra Julia Hejnosz3Division of Physical Education and Sport, Medical University of WarsawFaculty of Medicine, Medical University of WarsawFaculty of Health Sciences, Medical University of WarsawFaculty of Medicine, Medical University of WarsawAbstract The aim of this study is determine whether there are differences in performance analysis in matches won and lost at the 2022 European Women’s Handball Championship, and which actions are predictors of goal difference and match outcome. The analysis included 44 matches. The Student’s t-test and the Mann-Whitney U test was used to examine differences between winning and losing matches. Multivariate regression and logistic regression analysis was used to determine predictors of goal differences, and match outcome. Winning teams perform fewer positional attacks (d = 0.51) and more fast breaks (η2 = 0.01). Winning teams score significant higher number of goals in attack (d = 1.43), positional attack (d = 1.11), and have a higher efficiency of attack (d = 1.71) and positional attack (η2 = 0.39) throwing. Goalkeepers in winning matches make a significant higher number of defenses (d = 0.79) and have higher overall efficiency (d = 1.27). Predictors of goal differential (increasing it) in matches is efficiency of positional attack (β = 0.61), fast break (β = 0.28), and goalkeeper defenses (β = 0.46). The effectiveness of the attack (OR = 1.55) and goalkeeper’s defenses (OR = 1.24) increase the probability of winning the match, while the number of shots from 9 m (OR = 0.80) decreases it. Specialized handball training should be optimized to increase the number and effectiveness of team and individual actions, which differentiate the outcome of the match.https://doi.org/10.1038/s41598-025-00699-8StatisticRegressionData analysisOffensiveDefensiveEffectiveness |
| spellingShingle | Paweł Krawczyk Anna Kupczak Joanna Pergoł Aleksandra Julia Hejnosz Performance analysis in won and lost matches and the predictors of goal difference and match outcome in Women’s Handball European Championship 2022 Scientific Reports Statistic Regression Data analysis Offensive Defensive Effectiveness |
| title | Performance analysis in won and lost matches and the predictors of goal difference and match outcome in Women’s Handball European Championship 2022 |
| title_full | Performance analysis in won and lost matches and the predictors of goal difference and match outcome in Women’s Handball European Championship 2022 |
| title_fullStr | Performance analysis in won and lost matches and the predictors of goal difference and match outcome in Women’s Handball European Championship 2022 |
| title_full_unstemmed | Performance analysis in won and lost matches and the predictors of goal difference and match outcome in Women’s Handball European Championship 2022 |
| title_short | Performance analysis in won and lost matches and the predictors of goal difference and match outcome in Women’s Handball European Championship 2022 |
| title_sort | performance analysis in won and lost matches and the predictors of goal difference and match outcome in women s handball european championship 2022 |
| topic | Statistic Regression Data analysis Offensive Defensive Effectiveness |
| url | https://doi.org/10.1038/s41598-025-00699-8 |
| work_keys_str_mv | AT pawełkrawczyk performanceanalysisinwonandlostmatchesandthepredictorsofgoaldifferenceandmatchoutcomeinwomenshandballeuropeanchampionship2022 AT annakupczak performanceanalysisinwonandlostmatchesandthepredictorsofgoaldifferenceandmatchoutcomeinwomenshandballeuropeanchampionship2022 AT joannapergoł performanceanalysisinwonandlostmatchesandthepredictorsofgoaldifferenceandmatchoutcomeinwomenshandballeuropeanchampionship2022 AT aleksandrajuliahejnosz performanceanalysisinwonandlostmatchesandthepredictorsofgoaldifferenceandmatchoutcomeinwomenshandballeuropeanchampionship2022 |