Jfjelstul Worldcup Data-csv Patched Jun 2026

⚽ Matches: Scores, venues, and win conditions. 👥 Squads: Player rosters and managers. 🥅 Goals: Scorers, minute scored, and own goals. 🏆 Tournaments: Hosts, attendance, and champions.

World Cup, Football Analytics, Sports Data Science, Jfjelstul Dataset, Home Advantage, Goal Trends jfjelstul worldcup data-csv

From 1930–1954, average goals per match ≈ 4.2. From 1998–2022, average ≈ 2.5. A one-way ANOVA rejects the null of equal means across decades (F(8, 892) = 18.4, p < 0.001). ⚽ Matches: Scores, venues, and win conditions

We focus on three testable hypotheses:

This study leverages the jfjelstul_worldcup CSV dataset to explore long-term trends in men’s FIFA World Cup matches from 1930 to 2022. We examine three key research questions: (1) Has average goals per match declined over time? (2) Is home advantage statistically significant? (3) Has disciplinary action (yellow/red cards) increased with competitiveness? Using descriptive statistics, time-series visualizations, and hypothesis tests (t-tests and ANOVA), we find that goals per match have decreased moderately since the 1950s, home teams win or draw significantly more often than expected by chance, and card counts have risen substantially post-1990, likely reflecting rule changes and increased physical intensity. All analyses are fully reproducible from the public CSV data. 🏆 Tournaments: Hosts, attendance, and champions