⚽ 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

day mode: $100 -> $1000 in one day, structure tournament

← lab Β· target turn $100 into $1000 same day Β· days replayed 2,070 Β· avg slate size 14 Β· ran 7/7/2026

What this is: A one-off study β€” its numbers below are exactly what the run reported.
noteReal historical slates from the walk-forward predictions at real opening prices, all leagues. P(hit target) is the mode's objective; mean_end shows what that shot at glory costs in EV. Parlay legs assumed independent (different matches).
targetturn $100 into $1000 same day
days replayed2,070
avg slate size14

structures

flat 10{"mean_end":93.11,"bust_rate":0.0923,"median_end":85.7,"p_hi
half kelly{"mean_end":96.6,"bust_rate":0,"median_end":93.69,"p_hit_tar
half ladder{"mean_end":88.66,"bust_rate":0.4092,"median_end":3.12,"p_hi
parlay top4{"mean_end":63.66,"bust_rate":0.9942,"median_end":0,"p_hit_t
allin ladder{"mean_end":93.26,"bust_rate":0.9464,"median_end":0,"p_hit_t

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
{
  "edge": 0.05,
  "kind": "day_mode",
  "runs": null,
  "target_x": 10,
  "parlay_legs": 4
}