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🎲SimulationsπŸ§ͺLab≣Catalog?How this works

outcome matters: motivation asymmetry + stage behavior

← lab Β· n with closing odds 5,149 Β· n late season matches 10,808 Β· ran 7/5/2026

What this is: A one-off study β€” its numbers below are exactly what the run reported.
notemarket_tests excess = realized home rate minus de-vigged closing market home rate in that situation; |z| > 2 is interesting, > 3 is real. URGENT = drop_fight/title_race, DEAD = dead_rubber/mid.
n with closing odds5,149
n late season matches10,808

market tests

nzexcesssituationdraw expecteddraw realizedrealized home rate
1,0710.10.0015urgent_home_vs_dead_away0.25960.26050.3987
1,037-0.69-0.0108dead_home_vs_urgent_away0.24780.24590.4581
1,0080.040.0007both_urgent0.25810.26390.4246
1,2942.440.0335both_dead0.26550.22330.4614
1,7850.50.0056drop_fight_side_home0.27240.27110.3501
4630.220.0049title_side_home0.21030.2160.6328

stage behavior

nstageavg goalsunder 2 5draw in 90
52,009league2.6950.50670.2455
347group2.8960.4640.2277
79knockout3.0760.4430.2405

knockout rounds

nroundavg goalsunder 2 5draw in 90
12quarter_finals2.250.66670.3333
16last_322.3750.56250.3125
27last_163.370.37040.1481
16playoffs3.8750.250.1875

matchup profiles

ndrawaway winhome winover 2 5avg goalsaway need
2,5200.25560.28330.46110.48532.6dead_rubber
1,3670.2180.19530.58670.52672.813drop_fight
1,2440.27570.39390.33040.45742.544dead_rubber
1,2200.29260.28110.42620.45252.503drop_fight
4560.18420.22150.59430.47152.559mid
3880.23450.39950.3660.48972.549dead_rubber
3690.20050.18160.61790.57182.919dead_rubber
3550.28170.47610.24230.50422.741title_race
3470.24780.29110.46110.50722.602drop_fight
3310.23560.3353

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": "motivation",
  "odds_comps": [
    "EPL",
    "ELC",
    "EL1",
    "EL2",
    "SPL"
  ],
  "late_season": 0.66,
  "fight_margin": 6
}
0.429
0.4502
2.468
mid
2900.30.37930.32070.45172.39europe_race
2900.24480.20.55520.54832.672dead_rubber
2690.23050.59850.1710.45352.565title_race
2550.19610.08630.71760.51762.824drop_fight
2170.21660.48390.29950.472.47europe_race
2010.24880.09950.65170.52242.741drop_fight
1220.24590.32790.42620.48362.475mid