Predictions

Data-driven picks with calibrated probabilities and expected value. Updated when new upcoming games are loaded.

Predictions Stale 2 hours ago

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Mock Placement 970x250

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These are display filters only — they narrow your view but don't change what the engine evaluates or how it sizes bets. EV, edge, and stake thresholds are set in the prediction pipeline and reflected by the Recommended flag.

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Game Game Home vs Away matchup. Hover the teams for feature group availability.	Time ↕ Time Scheduled start time in your configured timezone. Click to sort.	Sport Sport Sport/league key (NBA, NFL, NHL, EPL, etc.)	Market Market ML = Moneyline • Spread = Against the Spread • O/U = Over/Under • 1X2 = Soccer result. Dot = calibration quality.	Selection Selection The side the model recommends betting (home team, away team, over, etc.)	Odds Odds Market odds in American (+/−) and decimal format. Source: pipeline sync.	Prob ↕ Model Probability Calibrated win probability for the selection. P(win \| features)	Impl% Implied Probability Market-implied probability derived from odds. 1 / decimal_odds	Edge ↕ Edge Model prob minus market-implied prob. Positive = model sees value vs market. P_model − P_market	EV ↕ Expected Value Expected return per unit wagered. (P_win × net_payout) − (1 − P_win)	Action
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