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🎲SimulationsπŸ§ͺLab≣Catalog?How this works

portfolio policy replay (predictions of backtest #16)

← lab Β· n bets 5,959 Β· hit rate 0.3536 Β· source run 16 Β· ran 7/4/2026

What this is: A one-off study β€” its numbers below are exactly what the run reported.
notesame bucket/blend/quarter-Kelly policy as the live portfolio_v1; opening prices; walk-forward probs
n bets5,959
hit rate0.3536
source run16
max drawdown0.9852
total staked102007.04
final bankroll268.9
start bankroll1,000
roi on turnover-0.0072

by bucket

value{"n":3217,"pnl":397.64}
ballast{"n":1619,"pnl":-849.97}
longshot{"n":1123,"pnl":-278.76}

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": "portfolio_backtest",
  "source_run": 16,
  "start_bankroll": 1000
}