Predictions / Football / Brazil. Copa Rio / Madureira vs Bonsucesso

Prediction Audit: Madureira vs Bonsucesso Prediction, Odds & AI Betting Tips

Jul 22, 2026 - 17:45
1(3) 1.25
1(2) 1.35
xG Accuracy: 85%

The model missed the final outcome (Draw 1–1).

The model had projected Madureira at 35.7%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Madureira Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices Madureira higher than the statistical model.

Largest probability gap: Madureira -6.6 pp

Outcome Model Closing Market Difference Signal
Madureira 35.7% 42.3% -6.6 pp Market Higher
Draw 29.8% 29.0% +0.8 pp Aligned
Bonsucesso 34.5% 28.8% +5.8 pp Model Higher

The closing market estimates Madureira's win probability at 42.3%, compared with the model's estimate of 35.7%, a difference of 6.6 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the result was Draw 1–1.

Market Assessment

The market and model broadly agree on Madureira. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • 1X2: model leaned Madureira; match finished Draw

Market lesson

The closing market differed from the model on Madureira by 6.6 percentage points (42.3% vs model 35.7%) — in this case the market view proved closer.

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Jul 22, 2026 · 19:46 UTC Forecast generated
    • Model 1X2 · Madureira 35.7% · Draw 29.7% · Bonsucesso 34.6%
    • xG · Madureira 1.25 — Bonsucesso 1.35
  2. Jul 22, 2026 · 17:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · Madureira 2.09 · Draw 3.05 · Bonsucesso 3.07
    • Implied 1X2 · Madureira 42.3% · Draw 29.0% · Bonsucesso 28.8%
    • Bookmaker · Pinnacle
  3. Jul 22, 2026 · 17:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Madureira 2.09 · Draw 3.05 · Bonsucesso 3.07
    • Implied 1X2 · Madureira 42.3% · Draw 29.0% · Bonsucesso 28.8%
    • Bookmaker · Pinnacle
  4. Jul 22, 2026 · 17:45 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 67/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 31, 2026 · 16:21 UTC Snapshot ID: dp-2629783

Closing Odds 2.09
AI Fair Odds —
CLV Pending
Final Result Draw · Madureira 1–1 Bonsucesso
Prediction ✖ Missed
Decision Grade C

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Copa Rio
  • Fixture: Madureira vs Bonsucesso
  • Kickoff: 2026-07-22 17:45:00
  • 1X2 (model): Home 35.7% · Draw 29.7% · Away 34.6%
  • xG (showing): Madureira 1.25 — Bonsucesso 1.35 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 30, 2026 (UTC)

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