Razlike v golih, obrambah, izključitvah in kartonih med zmagovalci in poraženci glede na kategorijo in spol pri mladih rokometaših

The objectives of the present study were: (i) to compare handball game-related statistics by match result (winning and losing teams) based on category [Under 18 (U18) and Under 16 (U16) years old] and sex (males and females), and (ii) to determine whether there are differences in handball game-related statistics based on category (U18 and U16) and sex (males and females). One thousand eight hundred seventy-three matches were analysed, (1034 male, 839 female) from the categories (U18 and U16) played in the 2022/23 and 2023/24 Icelandic League for both sexes were analysed. The dependent variable in the study was the match outcome (winning/losing teams), while the independent variables were the game-related statistics (goals, saves, two-minute exclusions, yellow and red cards), with category (U18 and U16) and sex (male and female) used as grouping variables. Basic statistical descriptors (mean and standard deviation) were calculated for each game-related statistic by match outcome (winning and losing teams) and by category and sex. Since normality was not met for any of the analyzed variables, the nonparametric Mann-Whitney U test was applied. The number of goals and saves differentiated winning and losing teams, both for the overall sample and based on category and sex

Authors

Publication Details

Journal
Repository of the University of Ljubljana (University of Ljubljana)
Published
2026-03-11
Primary Topic
Martial Arts: Techniques, Psychology, and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Razlike v golih, obrambah, izključitvah in kartonih med zmagovalci in poraženci glede na kategorijo in spol pri mladih rokometaših

Olafur Sigurgeirsson, Yzan Saavedra, Sveinn Porgeirsson, Jose M Saavedra
Repository of the University of Ljubljana (University of Ljubljana)
Martial Arts: Techniques, Psychology, and Education
article

Razlike v golih, obrambah, izključitvah in kartonih med zmagovalci in poraženci glede na kategorijo in spol pri mladih rokometaših

Olafur Sigurgeirsson, Yzan Saavedra, Sveinn Porgeirsson, Jose M Saavedra
article en

Abstract

The objectives of the present study were: (i) to compare handball game-related statistics by match result (winning and losing teams) based on category [Under 18 (U18) and Under 16 (U16) years old] and sex (males and females), and (ii) to determine whether there are differences in handball game-related statistics based on category (U18 and U16) and sex (males and females). One thousand eight hundred seventy-three matches were analysed, (1034 male, 839 female) from the categories (U18 and U16) played in the 2022/23 and 2023/24 Icelandic League for both sexes were analysed. The dependent variable in the study was the match outcome (winning/losing teams), while the independent variables were the game-related statistics (goals, saves, two-minute exclusions, yellow and red cards), with category (U18 and U16) and sex (male and female) used as grouping variables. Basic statistical descriptors (mean and standard deviation) were calculated for each game-related statistic by match outcome (winning and losing teams) and by category and sex. Since normality was not met for any of the analyzed variables, the nonparametric Mann-Whitney U test was applied. The number of goals and saves differentiated winning and losing teams, both for the overall sample and based on category and sex

Repository of the University of Ljubljana (University of Ljubljana)
Openalex Percentile: Top 23%
Martial Arts: Techniques, Psychology, and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.