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

Sep 29, 2026 - 18:45
0 1.81
3 1.98
xG Accuracy: 46%

AI correctly predicted the Albania win.

The match finished 0–3, 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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Albania Albania ✔ Correct
  • Correct Score Insights 1-1, 1-2, 2-1, 2-2, 1-3 0-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Albania higher than the statistical model.

Largest probability gap: Albania -20.3 pp

Outcome Model Closing Market Difference Signal
San Marino 12.2% 1.9% +10.2 pp Model Edge
Draw 15.4% 5.3% +10.1 pp Model Edge
Albania 72.4% 92.8% -20.3 pp Market Higher

The closing market estimates Albania's win probability at 92.8%, compared with the model's estimate of 72.4%, a difference of 20.3 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 0–3).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 3.79) — 3 goals materialised
  • Over 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Albania higher (92.7% vs model 72.4%, 20.3 pp), but the model's lean was validated (Albania win 0–3).

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Prediction Timeline

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

  1. Sep 29, 2026 · 19:12 UTC Forecast generated
    • Model 1X2 · San Marino 12.2% · Draw 15.4% · Albania 72.4%
    • xG · San Marino 1.81 — Albania 1.98
  2. Sep 29, 2026 · 18:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · San Marino 49.91 · Draw 18.19 · Albania 1.04
    • Implied 1X2 · San Marino 1.9% · Draw 5.3% · Albania 92.8%
    • Bookmaker · Pinnacle
  3. Sep 29, 2026 · 18:45 UTC Closing snapshot recorded PRE1
    • 1X2 odds · San Marino 49.91 · Draw 18.19 · Albania 1.04
    • Implied 1X2 · San Marino 1.9% · Draw 5.3% · Albania 92.8%
    • Bookmaker · Pinnacle
  4. Sep 29, 2026 · 18:45 UTC Kickoff
  5. FT Full-time result Albania win · 0–3
  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 53/100 · Moderate
  • Validation: Warning
  • Large market gap (20 pp)
Evidence ★★★★★
  • Strong model lean
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 23, 2026 · 02:11 UTC Snapshot ID: dp-10420567

Closing Odds 1.04
AI Fair Odds —
CLV Pending
Final Result Albania win · San Marino 0–3 Albania
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

Pre-match snapshot for this fixture.

  • League: UEFA Nations League
  • Fixture: San Marino vs Albania
  • Kickoff: 2026-09-29 18:45:00
  • 1X2 (model): Home 12.2% · Draw 15.4% · Away 72.4%
  • xG (showing): San Marino 1.81 — Albania 1.98 (total xG ≈ 3.79)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 27.1% · Over 2.5 73.0%); BTTS Yes (Yes 73.1% · No 26.9%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 73.1% · No 26.9%
  • Correct score (top bin): 1-1 (8.1%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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

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

September 30, 2026 (UTC)

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