Prediction Audit: Pro Sesto vs Oltrepò Prediction, Odds & AI Betting Tips

Sep 27, 2026 - 13:00
6 1.33
1 1.27
xG Accuracy: 26%

AI correctly predicted the Pro Sesto win.

The match finished 6–1, 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 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Pro Sesto Pro Sesto ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 6-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Pro Sesto higher than the statistical model.

Largest probability gap: Pro Sesto -20.6 pp

Outcome Model Closing Market Difference Signal
Pro Sesto 36.6% 57.2% -20.6 pp Market Higher
Draw 29.6% 23.9% +5.7 pp Model Higher
Oltrepò 33.8% 18.9% +14.9 pp Model Edge

The closing market estimates Pro Sesto's win probability at 57.2%, compared with the model's estimate of 36.6%, a difference of 20.6 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: PRE10.

After full time, the model's directional lean matched the result (Pro Sesto win 6–1).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 7 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (7 goals)
  • 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 Pro Sesto higher (57.2% vs model 36.6%, 20.6 pp), but the model's lean was validated (Pro Sesto win 6–1).

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Prediction Timeline

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

  1. Sep 27, 2026 · 12:58 UTC Forecast generated
    • Model 1X2 · Pro Sesto 36.6% · Draw 29.6% · Oltrepò 33.8%
    • xG · Pro Sesto 1.33 — Oltrepò 1.27
  2. Sep 27, 2026 · 12:40 UTC Opening odds snapshot PRE30
    • 1X2 odds · Pro Sesto 1.57 · Draw 3.75 · Oltrepò 4.75
    • Implied 1X2 · Pro Sesto 57.2% · Draw 23.9% · Oltrepò 18.9%
    • Bookmaker · Bet365
  3. Sep 27, 2026 · 12:58 UTC Closing snapshot recorded PRE10
    • 1X2 odds · Pro Sesto 1.57 · Draw 3.75 · Oltrepò 4.75
    • Implied 1X2 · Pro Sesto 57.2% · Draw 23.9% · Oltrepò 18.9%
    • Bookmaker · Bet365
  4. Sep 27, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Pro Sesto win · 6–1
  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 53/100 · Moderate
  • Validation: Warning
  • Large market gap (21 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 01:35 UTC Snapshot ID: dp-10094496

Closing Odds 1.57
AI Fair Odds —
CLV Pending
Final Result Pro Sesto win · Pro Sesto 6–1 Oltrepò
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: Serie D - Girone D
  • Fixture: Pro Sesto vs Oltrepò
  • Kickoff: 2026-09-27 13:00:00
  • 1X2 (model): Home 36.6% · Draw 29.6% · Away 33.8%
  • xG (showing): Pro Sesto 1.33 — Oltrepò 1.27 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.0%, still below the +2.0% minimum for a headline / default stake (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%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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 29, 2026 (UTC)

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Serie D - Girone D Serie D - Girone D — Standings
# TEAM MP W D L PTS
1 Pistoiese 4 4 0 0 12
2 Pro Patria 4 4 0 0 12
3 Pro Sesto 4 3 0 1 9
4 Lentigione 4 3 0 1 9
5 Sant'Angelo 4 2 2 0 8
6 USD Casatese 4 2 1 1 7
7 Cittadella Vis Modena 4 2 1 1 7
8 Castellanzese 4 2 0 2 6
9 Città di Varese 4 1 2 1 5
10 Varesina 4 1 1 2 4
11 Coriano 4 1 1 2 4
12 Correggese 4 1 1 2 4
13 Pavia 3 0 3 0 3
14 Oltrepò 3 1 0 2 3
15 Solbiatese 4 0 2 2 2
16 Crema 4 0 1 3 1
17 Arconatese 4 0 1 3 1
18 Pontedera 4 0 0 4 0
# TEAM MP GS GC +/- PTS
1 Pistoiese 4 11 1 +10 12
2 Pro Patria 4 10 3 +7 12
3 Pro Sesto 4 10 3 +7 9
4 Castellanzese 4 7 4 +3 6
5 Sant'Angelo 4 6 2 +4 8
6 Lentigione 4 6 4 +2 9
7 USD Casatese 4 6 4 +2 7
8 Varesina 4 5 6 -1 4
9 Cittadella Vis Modena 4 4 3 +1 7
10 Città di Varese 4 4 3 +1 5
11 Correggese 4 4 8 -4 4
12 Coriano 4 3 4 -1 4
13 Pontedera 4 3 12 -9 0
14 Oltrepò 3 2 3 -1 3
15 Arconatese 4 2 11 -9 1
16 Solbiatese 4 1 6 -5 2
17 Crema 4 1 8 -7 1
18 Pavia 3 0 0 0 3