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what drives home wins?

← lab Β· AUC 0.673 (real signal) Β· ran 7/3/2026

What this is: Asks which pre-match factors drive one specific outcome, using a walk-forward model and permutation importance.
FactorImportanceDirectionSurvives all eras?
home__team.elo0.0512↑ +0.262⏳ yes
away__team.elo0.0208↓ -0.242⏳ yes
match.rainfall_mm0.0039↓ -0.006no
home__team.goals_against_avg_l50.0029↓ -0.137⏳ yes
away__team.corners_against_avg_l50.0028↑ +0.140⏳ yes
away__team.form_points_l50.0024↓ -0.155⏳ yes
home__team.shots_for_avg_l50.0019↑ +0.179⏳ yes
home__team.goals_for_avg_l50.0016↑ +0.154⏳ yes
away__team.shots_for_avg_l50.0015↓ -0.170⏳ yes
home__team.corners_against_avg_l50.0006↓ -0.143⏳ yes
away__team.goals_for_avg_l50.0002↓ -0.149⏳ yes
away__team.corners_for_avg_l5-0.0006↓ -0.123⏳ yes

Reading the columnswhat each number actually means

AUCpredictability: 0.50 = coin flip, ~0.70 = ceiling for sports
Importancehow much the model leans on this factor (permutation importance)
Directionsign of the raw correlation with the outcome
Survives all eraseffect points the same way in every historical era
Spec Β· the reproducible recipe
{
  "name": "what drives home wins?",
  "sport": "football",
  "target": {
    "equals": "H",
    "metric": "match.result"
  },
  "features": "all"
}