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Pulling the odds, probabilities and the full engine breakdown for this fixture.
Pulling the odds, probabilities and the full engine breakdown for this fixture.
2 sources · observed . Fair probability removes the bookmaker margin where the market supports it.
Two-way probability model · tennis-surface-elo-v5 · generated · evidence to · provisional calibration
OddsPadi is watching this match; nothing has cleared publication.
Watchlist — empirical 95% value floor is unavailable for this runtime.
match winnerS. Johnson
The consensus calibrates model probability and supplies the no-vig comparison. The named bookmaker quote remains a separate executable price for expected-value analysis.
Fan votes and accountable tips sit beside the model, never inside it. Voting takes one tap and no account; publishing a tip needs one, because tips are an immutable record.
Selections lock 30 minutes before kickoff. Original tips cannot be rewritten after publication.
Model boundary: votes and community tips never change OddsPadi probability, edge, confidence, publication status, or model accuracy.
The full bar is 100% of the model's 1X2 distribution. Evidence quality is shown separately so confidence is not confused with probability.
Empirical interval unavailable: no active, model-matched calibration profile is allowed to influence this decision.
This is the deterministic calculation path, not a generated explanation. Positive factors support the selected side; negative factors pull against it.
Runtime probability trace is blocked: final probability 74% is preserved, but it does not clear the active action gates.
Collect at least 1,000 real finished fixtures with odds and complete sport-specific model inputs before trusting calibration.
Live outcome calibration: Probability calibration remains inactive until a real-data backtest receives explicit live-guardrail promotion.
Player-form coverage uses only provider-capable fixtures and requires acceptable or strong chronology-safe history in both training and holdout windows. Normalized Brier averages squared probability error across the market outcomes; lower is better. Calibration error measures the weighted gap between forecast probability and observed frequency.
Weighted evidence-risk index, not a statistical confidence level.
Data coverage uncertainty. Downgrade or block public trust until data coverage uncertainty is addressed. Confidence penalty -16.6%.
“Value edge” is our probability minus the bookmaker's fair probability (margin removed). Positive edge means the price is better than it should be. Current best edge: +7.8%.
| Market | Selection | Odds | Bookmaker | Model | Raw implied | No-vig implied | Margin | No-vig edge | EV |
|---|---|---|---|---|---|---|---|---|---|
| Match winner | M. Forbes | 2.75 | Betfair | 26% | 36% | 34% | +8.2% | -7.8% | -27.3% |
| Match winner | S. Johnson | 1.46 | Pncl | 74% | 68% | 66% | +8.2% | +7.8% | +7.4% |
Every market the model prices for this fixture, from one scoreline distribution. Selections without a live bookmaker quote show the model probability only — a probability is not a betting recommendation.
Decimal odds from stored pre-match provider snapshots. Lower odds mean the market has strengthened that outcome; higher odds mean it has weakened. This is observed movement, not proof that the move is correct.
OddsPadi estimates M. Forbes at 26% and S. Johnson at 74%. The current prices do not show a clear positive value edge, so the responsible call is to avoid forcing a pick.
Sports outcomes are uncertain. Predictions are model estimates, not guarantees.
Probabilities are the model's own estimate; market probabilities remove the bookmaker margin where the market supports it. Full methodology and the promotion gates a model must pass are on the engine page.