Predictions / Football / Brazil. Copa Paulista / Comercial vs Noroeste

Prediction Audit: Comercial vs Noroeste Prediction, Odds & AI Betting Tips

Comercial Comercial
Jul 18, 2026 - 19:00
2 1.37
0 1.23
xG Accuracy: 60%
Noroeste Noroeste

The model missed the final outcome (Comercial win 2–0).

The model had projected Noroeste at 35.8%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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 No ✖ Incorrect
  • 1X2 Noroeste Comercial ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Noroeste higher than the statistical model.

Largest probability gap: Noroeste -15.7 pp

Outcome Model Closing Market Difference Signal
Comercial 34.9% 22.3% +12.6 pp Model Edge
Draw 29.3% 26.2% +3.1 pp Aligned
Noroeste 35.8% 51.5% -15.7 pp Market Higher

The closing market estimates Noroeste's win probability at 51.5%, compared with the model's estimate of 35.8%, a difference of 15.7 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 Comercial win 2–0.

Market Assessment

The market is materially more optimistic about Noroeste than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Noroeste; match finished Comercial

Market lesson

The closing market differed from the model on Noroeste by 15.7 percentage points (51.5% vs model 35.8%) — 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 18, 2026 · 18:59 UTC Forecast generated
    • Model 1X2 · Comercial 34.8% · Draw 29.3% · Noroeste 35.8%
    • xG · Comercial 1.37 — Noroeste 1.23
  2. Jul 18, 2026 · 18:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Comercial 4.00 · Draw 3.40 · Noroeste 1.73
    • Implied 1X2 · Comercial 22.3% · Draw 26.2% · Noroeste 51.5%
    • Bookmaker · Bet365
  3. Jul 18, 2026 · 18:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Comercial 4.00 · Draw 3.40 · Noroeste 1.73
    • Implied 1X2 · Comercial 22.3% · Draw 26.2% · Noroeste 51.5%
    • Bookmaker · Bet365
  4. Jul 18, 2026 · 19:00 UTC Kickoff
  5. FT Full-time result Comercial win · 2–0
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 55/100 · Moderate
  • Validation: Warning
  • Large market gap (16 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 21/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 22:19 UTC Snapshot ID: dp-1650707

Closing Odds 1.73
AI Fair Odds —
CLV Pending
Final Result Comercial win · Comercial 2–0 Noroeste
Prediction ✖ Missed
Decision Grade F

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 Paulista
  • Fixture: Comercial vs Noroeste
  • Kickoff: 2026-07-18 19:00:00
  • 1X2 (model): Home 34.8% · Draw 29.3% · Away 35.8%
  • xG (showing): Comercial 1.37 — Noroeste 1.23 (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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Monitor

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 29, 2026 (UTC)

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