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season watch: weekly Bayesian re-evaluation, all league-seasons

← lab Β· league seasons 146 Β· ran 7/7/2026

What this is: A one-off study β€” its numbers below are exactly what the run reported.
noteposterior_vs_table counts seasons where the Bayesian leader differed from the table leader at that stage, and who won the title. Live posteriors get priced when the Monday outrights archive has real futures odds to compare against.
league seasons146

calibration

nbandmean prealizedcheckpoint
10220%-50%0.3220.33310%
7350%-80%0.6350.50710%
5080%-100%0.8880.7410%
9920%-50%0.3340.37420%
7250%-80%0.6380.54220%
5080%-100%0.9120.7820%
9420%-50%0.3210.30930%
7250%-80%0.640.63930%
5680%-100%0.9140.82130%
9220%-50%0.3390.32640%
6150%-80%0.6390.57440%
6480%-100%0.9170.89140%
8320%-50%0.3370.32550%
5850%-80%0.6520.6950%
7180%-100%0.9350.88750%
6220%-50%0.3180.30660%
6650%-80%0.6650.62160%
7680%-100%0.9430.97460%
5220%-50%0.3440.28870%
5050%-80%0.6360.670%
9180%-100%0.940.97870%
5220%-50%0.3340.36580%
3950%-80%0.650.64180%
9980%-100%0.9610.9880%
3720%-50%0.3330.29790%
2750%-80%0.6850.77890%
11380%-100%0.9720.97390%

live posteriors

leagueplayedseasonremainingp champion top6
MLS21820262926 items

posterior vs table

checkpointtable rightdisagreementsposterior right
10%169149
20%196433
30%145427
40%144118
50%93519
60%92512
70%51810
80%51911
90%5148

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": "season_watch",
  "seed": 424242,
  "sims": 1000,
  "leagues": [
    "EPL",
    "PD",
    "SA",
    "BL1",
    "FL1",
    "DED",
    "PPL"
  ],
  "checkpoints": 10
}