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interaction miner v2: HT momentum x market x events

← lab Β· 58128 pairs tested Β· 28782 survive every era Β· ran 7/3/2026

What this is: Theory-free sweep: correlates every pre-match factor with every outcome, corrects for the thousands of tests, and keeps only effects stable in every era.
Theory-free sweep: every pre-match factor against every outcome. Only correlations that stay significant after multiple-testing correction AND point the same way in every era are shown. Strength guide: 0.02 tiny Β· 0.1 small Β· 0.2+ notable for sports.
FactorPredictsCorrelationBy era
match.elo_gap * match.humidity_pctgoal_margin_home+0.429+ + + +
market.p_away * match.humidity_pctgoal_margin_home-0.426βˆ’ βˆ’ βˆ’ βˆ’
match.elo_gap / match.humidity_pctgoal_margin_home+0.424+ + + +
market.p_home * match.ref_fouls_avggoal_margin_home+0.415+ + + +
market.p_home * match.humidity_pctgoal_margin_home+0.414+ + + +
market.p_away / match.ref_fouls_avggoal_margin_home-0.411βˆ’ βˆ’ βˆ’ βˆ’
market.p_away / match.humidity_pctgoal_margin_home-0.408βˆ’ βˆ’ βˆ’ βˆ’
market.p_homegoal_margin_home+0.407+ + + +
market.p_away * match.ref_fouls_avggoal_margin_home-0.406βˆ’ βˆ’ βˆ’ βˆ’
market.p_home / match.ref_fouls_avggoal_margin_home+0.406+ + + +
away__team.elo * market.p_homegoal_margin_home+0.406+ + + +
market.p_away / market.p_over25goal_margin_home-0.405βˆ’ Β· βˆ’ βˆ’
match.elo_gap * match.temp_cgoal_margin_home+0.403+ + + +
home__team.elo * market.p_homegoal_margin_home+0.402+ + + +
market.p_awaygoal_margin_home-0.400βˆ’ βˆ’ βˆ’ βˆ’
market.p_home * market.p_over25goal_margin_home+0.395+ Β· + +
home__team.elo * market.p_awaygoal_margin_home-0.394βˆ’ βˆ’ βˆ’ βˆ’
market.p_home * match.ref_cards_avggoal_margin_home+0.394+ + + +
market.p_away / match.ref_cards_avggoal_margin_home-0.394βˆ’ βˆ’ βˆ’ βˆ’
market.p_home / match.humidity_pctgoal_margin_home+0.392+ + + +
market.p_away * market.p_drawgoal_margin_home-0.390βˆ’ βˆ’ βˆ’ βˆ’
market.p_away * match.ref_cards_avggoal_margin_home-0.389βˆ’ βˆ’ βˆ’ βˆ’
market.p_away * market.p_over25goal_margin_home-0.389βˆ’ Β· βˆ’ βˆ’
market.p_over25 * match.elo_gapgoal_margin_home+0.389+ Β· + +
market.p_home / market.p_over25goal_margin_home+0.388+ Β· + +
match.humidity_pct * match.state_gapgoal_margin_home+0.388+ + + +
market.p_draw / market.p_homegoal_margin_home-0.388βˆ’ βˆ’ βˆ’ βˆ’
home__team.dominance_l5 * market.p_homegoal_margin_home+0.387+ + + +
match.elo_gap * match.ref_fouls_avggoal_margin_home+0.387+ + + +
away__team.elo * market.p_awaygoal_margin_home-0.387βˆ’ βˆ’ βˆ’ βˆ’
match.elo_gap / match.ref_fouls_avggoal_margin_home+0.386+ + + +
match.elo_gap * match.ref_cards_avggoal_margin_home+0.386+ + + +
match.elo_gap / match.ref_cards_avggoal_margin_home+0.382+ + + +
market.p_home * match.style_clash_cornersgoal_margin_home+0.380+ + + +
away__team.dominance_l5 * market.p_awaygoal_margin_home-0.375βˆ’ βˆ’ βˆ’ βˆ’
market.p_home / match.ref_cards_avggoal_margin_home+0.372+ + + +
market.p_away / match.tempogoal_margin_home-0.371βˆ’ βˆ’ βˆ’ βˆ’
market.p_away / match.style_clash_cornersgoal_margin_home-0.371βˆ’ βˆ’ βˆ’ βˆ’
home__team.elo * match.elo_gapgoal_margin_home+0.367+ + + +
match.elo_gapgoal_margin_home+0.366+ + + +

Reading the columnswhat each number actually means

Factora pre-match metric (leak-free: computed only from earlier games)
Predictsa post-match outcome
CorrelationPearson r; sports live in 0.02–0.4 territory
By erasign of the effect in each historical era β€” must agree everywhere to be listed
Spec Β· the reproducible recipe
{
  "kind": "discovery",
  "sport": "football",
  "interactions": true
}