Prediction Audit: Ligorna vs Sanremese Prediction, Odds & AI Betting Tips

Sep 06, 2026 - 13:00
2 1.39
2 1.21
xG Accuracy: 68%

The model missed the final outcome (Draw 2–2).

The model had projected Ligorna at 39.5%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 (4 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Ligorna Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Ligorna higher than the statistical model.

Largest probability gap: Ligorna -12.1 pp

Outcome Model Closing Market Difference Signal
Ligorna 39.5% 51.6% -12.1 pp Market Higher
Draw 29.5% 27.1% +2.4 pp Aligned
Sanremese 31.0% 21.3% +9.7 pp Model Higher

The closing market estimates Ligorna's win probability at 51.6%, compared with the model's estimate of 39.5%, a difference of 12.1 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: PRE5.

After full time, the result was Draw 2–2.

Market Assessment

The market is materially more optimistic about Ligorna 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) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned Ligorna; match finished Draw
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on Ligorna by 12.1 percentage points (51.6% vs model 39.5%) — 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 · 13:00 UTC Forecast generated
    • Model 1X2 · Ligorna 39.5% · Draw 29.5% · Sanremese 31.0%
    • xG · Ligorna 1.39 — Sanremese 1.21
  2. Sep 06, 2026 · 12:34 UTC Opening odds snapshot PRE30
    • 1X2 odds · Ligorna 1.72 · Draw 3.27 · Sanremese 4.16
    • Implied 1X2 · Ligorna 51.6% · Draw 27.1% · Sanremese 21.3%
    • Bookmaker · Pinnacle
  3. Sep 06, 2026 · 13:00 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Ligorna 1.72 · Draw 3.27 · Sanremese 4.16
    • Implied 1X2 · Ligorna 51.6% · Draw 27.1% · Sanremese 21.3%
    • Bookmaker · Pinnacle
  4. Sep 06, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Draw · 2–2
  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) 39/100
Betting Confidence 45/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 07:06 UTC Snapshot ID: dp-6356717

Closing Odds 1.72
AI Fair Odds —
CLV Pending
Final Result Draw · Ligorna 2–2 Sanremese
Prediction ✖ Missed
Decision Grade C

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: Serie D - Girone A
  • Fixture: Ligorna vs Sanremese
  • Kickoff: 2026-09-06 13:00:00
  • 1X2 (model): Home 39.5% · Draw 29.5% · Away 31.0%
  • xG (showing): Ligorna 1.39 — Sanremese 1.21 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 54.3% · Implied: 48.2% · Probability edge: +6.1 pts · Est. EV: +3.2%
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Correct score remains high-variance even when a line is most likely on paper.

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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Serie D - Girone A Serie D - Girone A — Standings
# TEAM MP W D L PTS
1 Biellese 5 3 2 0 11
2 Derthona 5 3 2 0 11
3 Gozzano 5 3 1 1 10
4 Saluzzo 5 2 3 0 9
5 Millesimo 5 3 0 2 9
6 Alessandria 4 3 0 1 9
7 Imperia 4 2 1 1 7
8 Asti 5 2 1 2 7
9 Ligorna 5 2 1 2 7
10 Lascaris 5 2 1 2 7
11 Fezzanese 5 2 1 2 7
12 Sanremese 5 1 2 2 5
13 Borgosesia 4 1 2 1 5
14 Chisola 4 1 1 2 4
15 Sestri Levante 5 1 1 3 4
16 Bra 4 0 2 2 2
17 Valenzana 5 0 1 4 1
18 Celle Varazze 4 0 0 4 0
# TEAM MP GS GC +/- PTS
1 Ligorna 5 9 9 0 7
2 Biellese 5 8 4 +4 11
3 Saluzzo 5 8 4 +4 9
4 Millesimo 5 8 4 +4 9
5 Gozzano 5 7 3 +4 10
6 Alessandria 4 7 6 +1 9
7 Derthona 5 6 3 +3 11
8 Fezzanese 5 6 5 +1 7
9 Asti 5 6 7 -1 7
10 Sanremese 5 6 7 -1 5
11 Imperia 4 5 3 +2 7
12 Sestri Levante 5 5 8 -3 4
13 Valenzana 5 5 9 -4 1
14 Borgosesia 4 3 4 -1 5
15 Chisola 4 3 5 -2 4
16 Lascaris 5 3 6 -3 7
17 Bra 4 2 4 -2 2
18 Celle Varazze 4 1 7 -6 0