Predictions / Football / World. Friendlies Clubs / Portimonense vs Nottingham Forest

Prediction Audit: Portimonense vs Nottingham Forest Prediction, Odds & AI Betting Tips

Portimonense Portimonense
Jul 31, 2026 - 10:00
1 1.25
2 1.35
xG Accuracy: 78%
Nottingham Forest Nottingham Forest

AI correctly predicted the Nottingham Forest win.

The match finished 1–2, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Nottingham Forest Nottingham Forest ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-2 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Nottingham Forest higher than the statistical model.

Largest probability gap: Nottingham Forest -19.2 pp

Outcome Model Closing Market Difference Signal
Portimonense 32.9% 19.9% +13.0 pp Model Edge
Draw 29.6% 23.4% +6.2 pp Model Higher
Nottingham Forest 37.5% 56.8% -19.2 pp Market Higher

The closing market estimates Nottingham Forest's win probability at 56.8%, compared with the model's estimate of 37.5%, a difference of 19.2 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 model's directional lean matched the result (Nottingham Forest win 1–2).

Market Assessment

The market is materially more optimistic about Nottingham Forest 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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–2 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Nottingham Forest higher (56.7% vs model 37.5%, 19.2 pp), but the model's lean was validated (Nottingham Forest win 1–2).

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Prediction Timeline

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

  1. Jul 31, 2026 · 09:59 UTC Forecast generated
    • Model 1X2 · Portimonense 32.9% · Draw 29.6% · Nottingham Forest 37.6%
    • xG · Portimonense 1.25 — Nottingham Forest 1.35
  2. Jul 31, 2026 · 09:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Portimonense 7.28 · Draw 3.47 · Nottingham Forest 1.43
    • Implied 1X2 · Portimonense 12.2% · Draw 25.6% · Nottingham Forest 62.2%
    • Bookmaker · Pinnacle
  3. Jul 31, 2026 · 09:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Portimonense 4.46 · Draw 3.79 · Nottingham Forest 1.56
    • Implied 1X2 · Portimonense 19.9% · Draw 23.4% · Nottingham Forest 56.8%
    • Bookmaker · Pinnacle
  4. Jul 31, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Nottingham Forest win · 1–2
  6. FT Prediction validated Directional lean matched 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 Validated
Pre-match metrics (historical context)
Prediction Reliability 53/100 · Moderate
  • Validation: Warning
  • Large market gap (19 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 3/100
Betting Confidence 42/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 29, 2026 · 01:44 UTC Snapshot ID: dp-2302238

Closing Odds 1.56
AI Fair Odds —
CLV Pending
Final Result Nottingham Forest win · Portimonense 1–2 Nottingham Forest
Prediction ✔ Correct
Decision Grade B-

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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Friendlies Clubs
  • Fixture: Portimonense vs Nottingham Forest
  • Kickoff: 2026-07-31 10:00:00
  • 1X2 (model): Home 32.9% · Draw 29.6% · Away 37.6%
  • xG (showing): Portimonense 1.25 — Nottingham Forest 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%)

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: Validated — Pre-match lean validated against 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 27, 2026 (UTC)

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