⚽ Tomulator
Overview
β—ˆDashboardπŸ“…Today's gamesβ—ŽState of play
Money
πŸ’·Bets & strategies
Explore
⊞Leagues & seasonsπŸ“Metricsβ–€Data sources
Engine room
🎲SimulationsπŸ§ͺLab≣Catalog?How this works

epl mid-dog v2: filter stack vs v1, holdout + generalization

← lab Β· Β· ran 7/7/2026

What this is: A one-off study β€” its numbers below are exactly what the run reported.

results

nhitroilabel
5400.350.1796EPL v1 (all 21 seasons)
2320.3920.346EPL v2 (filters, SAME data β€” inflated by construction)
1040.3940.3903EPL v2 on 2005-15 (derivation era)
3150.3430.1504EPL v1 on 2016-26 (holdout)
1280.3910.3101EPL v2 on 2016-26 (HOLDOUT β€” the number that matters)
1,7340.289-0.0416Other 6 leagues v1
7680.279-0.067Other 6 leagues v2 (do the patterns travel?)

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
{
  "kind": "v2_filters",
  "filters": {
    "away_rank_max": 14,
    "home_form_min": 4,
    "home_rank_max": 17,
    "exclude_months": [
      8,
      9,
      10
    ]
  }
}