Elo, Klassifikation und Poisson-Tore
Modell
elo-logreg-poisson-v1
Features
home_eloaway_eloelo_diffhome_avg_goals_for_last5home_avg_goals_against_last5away_avg_goals_for_last5away_avg_goals_against_last5home_wins_last5home_draws_last5home_losses_last5away_wins_last5away_draws_last5away_losses_last5home_tournament_experienceaway_tournament_experiencehome_knockout_gamesaway_knockout_gameshome_titles_beforeaway_titles_beforehead_to_head_matcheshead_to_head_home_goalshead_to_head_away_goalsis_knockoutis_group_matchhome_hostaway_hosthome_reigning_championaway_reigning_championhome_rest_daysaway_rest_daystournament_yearexternal_home_eloexternal_away_eloexternal_elo_diffexternal_home_matchesexternal_away_matchesexternal_home_recent_goals_forexternal_home_recent_goals_againstexternal_away_recent_goals_forexternal_away_recent_goals_againstexternal_home_recent_winsexternal_home_recent_drawsexternal_home_recent_lossesexternal_away_recent_winsexternal_away_recent_drawsexternal_away_recent_lossesexternal_head_to_head_matchesexternal_head_to_head_home_goalsexternal_head_to_head_away_goalsexternal_home_days_since_matchexternal_away_days_since_matchfifa_home_pointsfifa_away_pointsfifa_points_difffifa_home_rankfifa_away_rankfifa_rank_difffifa_home_ranking_age_daysfifa_away_ranking_age_dayscontext_home_populationcontext_away_populationcontext_log_population_diffcontext_home_areacontext_away_areacontext_log_area_diffcontext_home_gdpcontext_away_gdpcontext_log_gdp_diffcontext_home_gdp_per_capitacontext_away_gdp_per_capitacontext_log_gdp_per_capita_diffcontext_home_latitudecontext_away_latitudecontext_home_longitudecontext_away_longitudecontext_team_distance_kmcontext_home_distance_to_host_kmcontext_away_distance_to_host_kmcontext_host_distance_diffcontext_same_regioncontext_same_subregioncontext_home_same_region_as_hostcontext_away_same_region_as_hostcontext_home_bordering_hostcontext_away_bordering_hostcontext_home_world_bank_age_yearscontext_away_world_bank_age_years
Grenzen
- Das Zielmodell wird weiterhin auf echten WM-Spielen der Maenner bewertet; externe Laenderspiele, Rankings und Laenderkontext dienen als Zusatzfeatures.
- Keine Prognose ist eine sichere Vorhersage.
- Kommende Spiele werden nur angezeigt, wenn sie aus einer echten Datenquelle geladen wurden.
- Mehr Daten verbessern die Grundlage, garantieren aber keine hohe Modell-Sicherheit.
Metriken
| Metrik | Wert | Details |
|---|---|---|
| accuracy | 0.7188 | |
| balanced_accuracy | 0.5826 | |
| brier_score | 0.4367 | |
| calibration | - | {'expected_calibration_error': 0.17714032499126067, 'bins': [{'lower': 0.2, 'upper': 0.4, 'accuracy': 0.4, 'confidence': 0.37511461643177546}, {'lower': 0.4, 'upper': 0.6000000000000001, 'accuracy': 0.631578947368421, 'confidence': 0.4973334967650436}, {'lower': 0.6000000000000001, 'upper': 0.8, 'accuracy': 0.9523809523809523, 'confidence': 0.6613701543489895}]} |
| confusion_matrix | - | {'labels': ['H', 'D', 'A'], 'matrix': [[28, 0, 4], [8, 1, 1], [5, 0, 17]]} |
| elo_baseline_accuracy | 0.5781 | |
| goal_mae | 0.7682 | |
| log_loss | 0.7656 | |
| majority_baseline_accuracy | 0.5000 | |
| poisson_baseline_mae | 1.0035 | |
| selected_classifier | - | {'value': 'calibrated_logistic_regression'} |
| training_end_year | 2026.0000 | |
| training_rows | 804.0000 | |
| training_start_year | 1986.0000 | |
| validation | - | {'accuracy': 0.671875, 'balanced_accuracy': 0.5293040293040293, 'log_loss': 0.8060384148166747, 'brier_score': 0.46529085643198326} |