Predictions / Football / Portugal. Campeonato de Portugal Prio - Group D / Amora vs Real

Prediction Audit: Amora vs Real Prediction, Odds & AI Betting Tips

Amora Amora
Sep 06, 2026 - 10:00
0 1.42
1 1.18
xG Accuracy: 64%
Real Real

The model missed the final outcome (Real win 0–1).

The model had projected Amora at 40.9%, 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 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Amora Real ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 0-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Amora higher than the statistical model.

Largest probability gap: Amora -11.9 pp

Outcome Model Closing Market Difference Signal
Amora 40.9% 52.8% -11.9 pp Market Higher
Draw 29.4% 26.6% +2.8 pp Aligned
Real 29.7% 20.6% +9.1 pp Model Higher

The closing market estimates Amora's win probability at 52.8%, compared with the model's estimate of 40.9%, a difference of 11.9 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 Real win 0–1.

Market Assessment

The market is materially more optimistic about Amora 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
  • Exact score 0–1 fell within the model's highlighted bins

What failed

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

Market lesson

The closing market differed from the model on Amora by 11.9 percentage points (52.8% vs model 40.9%) — 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. Sep 06, 2026 · 10:02 UTC Forecast generated
    • Model 1X2 · Amora 41.0% · Draw 29.4% · Real 29.6%
    • xG · Amora 1.42 — Real 1.18
  2. Sep 06, 2026 · 09:33 UTC Opening odds snapshot PRE30
    • 1X2 odds · Amora 1.68 · Draw 3.34 · Real 4.30
    • Implied 1X2 · Amora 52.8% · Draw 26.6% · Real 20.6%
    • Bookmaker · Pinnacle
  3. Sep 06, 2026 · 10:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Amora 1.68 · Draw 3.34 · Real 4.30
    • Implied 1X2 · Amora 52.8% · Draw 26.6% · Real 20.6%
    • Bookmaker · Pinnacle
  4. Sep 06, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Real win · 0–1
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Warning
  • Large market gap (12 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 40/100
Betting Confidence 45/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 01:13 UTC Snapshot ID: dp-6323790

Closing Odds 1.68
AI Fair Odds —
CLV Pending
Final Result Real win · Amora 0–1 Real
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: Campeonato de Portugal Prio - Group D
  • Fixture: Amora vs Real
  • Kickoff: 2026-09-06 10:00:00
  • 1X2 (model): Home 41.0% · Draw 29.4% · Away 29.6%
  • xG (showing): Amora 1.42 — Real 1.18 (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 54.1% · No 45.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.1% · No 45.9%
  • Correct score (top bin): 1-1 (12.4%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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 28, 2026 (UTC)

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