Prediction Audit: Pavia vs Crema Prediction, Odds & AI Betting Tips

Sep 06, 2026 - 13:00
0 1.37
0 1.23
xG Accuracy: 49%

The model missed the final outcome (Draw 0–0).

The model had projected Pavia at 38.5%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (0 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Pavia Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-0 ✖ Incorrect

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Pavia; match finished Draw

Market lesson

The full-time result was Draw 0–0, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Aug 31, 2026 · 07:11 UTC Forecast generated
    • xG · Pavia 1.37 — Crema 1.23
  2. Sep 06, 2026 · 13:00 UTC Kickoff
  3. FT Full-time result Draw · 0–0
  4. FT Prediction missed 1X2 lean did not match full-time result
  5. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Pending
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation pending
Market Compatibility 100/100
Betting Confidence 59/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 07:11 UTC Snapshot ID: dp-6357762

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Draw · Pavia 0–0 Crema
Prediction ✖ Missed
Decision Grade F

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: Pavia vs Crema
  • Kickoff: 2026-09-06 13:00:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): Pavia 1.37 — Crema 1.23 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • 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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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

Historical Recommendation

Historical Decision: No Primary Bet

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

October 09, 2026 (UTC)

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