⚽ 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

edge hunt: one +EV leg at market price, train/test validated

← lab Β· n survivors 4 Β· segments scanned 127 Β· ran 7/14/2026

What this is: A one-off study β€” its numbers below are exactly what the run reported.
notesurvivor = +EV in train AND test at opening prices; gold = also +EV at closing (beats the sharpest line). Expect a few false positives from multiple testing even so.
n survivors4
segments scanned127

gold

selbandcompmarkettest ntrain ntest roi
away side winpriced 1.00–1.80PPLMatch result2115976.56
away side winpriced 1.00–1.80SAMatch result18058311.54
away side winevenSAMatch result3191,1445.61
away side winevenFL1Match result2918863.1

survivors

selbandcompmarkettest ntrain ntest roi
away side winpriced 1.00–1.80PPLMatch result2115976.56
away side winpriced 1.00–1.80SAMatch result18058311.54
away side winevenSAMatch result3191,1445.61
away side winevenFL1Match result2918863.1

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": "edge_hunt",
  "bands": [
    "odds_on",
    "even",
    "mid",
    "long",
    "xlong"
  ],
  "cutoff": "2022-07-01",
  "min_test": 100,
  "min_train": 200,
  "price_agg": "max",
  "test_min_roi": 1,
  "train_min_roi": 3
}