Prediction Audit: Albania vs San Marino Prediction, Odds & AI Betting Tips

Oct 06, 2026 - 18:45
2 1.21
1 1.20
xG Accuracy: 76%

AI correctly predicted the Albania win.

The match finished 2–1, 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 Albania Albania ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Albania higher than the statistical model.

Largest probability gap: Albania -57.8 pp

Outcome Model Closing Market Difference Signal
Albania 34.8% 92.6% -57.8 pp Market Higher
Draw 31.0% 5.6% +25.4 pp Model Edge
San Marino 34.3% 1.9% +32.4 pp Model Edge

The closing market estimates Albania's win probability at 92.6%, compared with the model's estimate of 34.8%, a difference of 57.8 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 (Albania win 2–1).

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 2–1 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 Albania higher (92.6% vs model 34.8%, 57.8 pp), but the model's lean was validated (Albania win 2–1).

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Prediction Timeline

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

  1. Oct 06, 2026 · 01:25 UTC Forecast generated
    • Model 1X2 · Albania 34.8% · Draw 31.0% · San Marino 34.3%
    • xG · Albania 1.21 — San Marino 1.20
  2. Oct 06, 2026 · 18:25 UTC Opening odds snapshot PRE20
    • 1X2 odds · Albania 1.02 · Draw 17.00 · San Marino 51.00
    • Implied 1X2 · Albania 92.6% · Draw 5.6% · San Marino 1.9%
    • Bookmaker · bet365 us
  3. Oct 06, 2026 · 18:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Albania 1.02 · Draw 17.00 · San Marino 51.00
    • Implied 1X2 · Albania 92.6% · Draw 5.6% · San Marino 1.9%
    • Bookmaker · bet365 us
  4. Oct 06, 2026 · 18:45 UTC Kickoff
  5. FT Full-time result Albania win · 2–1
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 24/100 · Not reliable
  • Validation: Fail
  • Large market gap (58 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 6/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 30, 2026 · 01:56 UTC Snapshot ID: dp-11915862

Closing Odds 1.02
AI Fair Odds —
CLV Pending
Final Result Albania win · Albania 2–1 San Marino
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

Model favours Albania; market prices Albania instead — inputs may be missing or stale.

  • Model: Albania 1.21 xG vs San Marino 1.20 → Albania 34.8%
  • Market: Albania ~92.6% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 56.7% · Over 2.5 43.3%); BTTS Yes (Yes 50.7% · No 49.3%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes

Historical Recommendation

Historical Decision: Wait

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

October 14, 2026 (UTC)

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UEFA Nations League UEFA Nations League — Standings
# TEAM MP W D L PTS
1 France 4 3 1 0 10
2 Italy 4 2 1 1 7
3 Belgium 4 2 0 2 6
4 Türkiye 4 0 0 4 0
# TEAM MP GS GC +/- PTS
1 Italy 4 8 5 +3 7
2 France 4 7 2 +5 10
3 Belgium 4 6 5 +1 6
4 Türkiye 4 2 11 -9 0
# TEAM MP xG xGC +/- PTS
1 France 4 2.0 0.6 +1.4 10
2 Italy 4 2.0 1.4 +0.6 7
3 Türkiye 4 1.4 2.0 -0.6 0
4 Belgium 4 0.6 2.0 -1.4 6