Predictions / Football / Italy. Serie A / Bologna vs Sassuolo

Prediction Audit: Bologna vs Sassuolo Prediction, Odds & AI Betting Tips

Bologna Bologna
Sep 06, 2026 - 16:00
2 1.11
2 1.07
xG Accuracy: 61%
Sassuolo Sassuolo

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

The model had projected Bologna at 34.6%, 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 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Bologna Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 2-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Bologna higher than the statistical model.

Largest probability gap: Bologna -14.7 pp

Outcome Model Closing Market Difference Signal
Bologna 34.6% 49.3% -14.7 pp Market Higher
Draw 32.8% 27.9% +4.9 pp Aligned
Sassuolo 32.6% 22.8% +9.8 pp Model Higher

The closing market estimates Bologna's win probability at 49.3%, compared with the model's estimate of 34.6%, a difference of 14.7 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 result was Draw 2–2.

Market Assessment

The market is materially more optimistic about Bologna 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 failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)

Market lesson

The closing market differed from the model on Bologna by 14.7 percentage points (49.3% vs model 34.6%) — 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 · 15:59 UTC Forecast generated
    • Model 1X2 · Bologna 34.6% · Draw 32.8% · Sassuolo 32.6%
    • xG · Bologna 1.11 — Sassuolo 1.07
  2. Sep 06, 2026 · 15:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Bologna 1.97 · Draw 3.49 · Sassuolo 4.26
    • Implied 1X2 · Bologna 49.3% · Draw 27.9% · Sassuolo 22.8%
    • Bookmaker · Pinnacle
  3. Sep 06, 2026 · 15:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Bologna 1.97 · Draw 3.49 · Sassuolo 4.26
    • Implied 1X2 · Bologna 49.3% · Draw 27.9% · Sassuolo 22.8%
    • Bookmaker · Pinnacle
  4. Sep 06, 2026 · 16:00 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 56/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 26/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 07:48 UTC Snapshot ID: dp-6366390

Closing Odds 1.97
AI Fair Odds —
CLV Pending
Final Result Draw · Bologna 2–2 Sassuolo
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 A
  • Fixture: Bologna vs Sassuolo
  • Kickoff: 2026-09-06 16:00:00
  • 1X2 (model): Home 34.6% · Draw 32.8% · Away 32.6%
  • xG (showing): Bologna 1.11 — Sassuolo 1.07 (total xG ≈ 2.18)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 62.8% · Implied: 51.5% · Probability edge: +11.3 pts · Est. EV: +25.6%
  • BTTS (model): Yes 45.8% · No 54.2%
  • Correct score (top bin): 1-1 (13.4%)

Totals and BTTS are evaluated against current market prices where available.

Early match state can move realised goals away from pre-kick projections.

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 A Serie A — Standings
# TEAM MP W D L PTS
1 AS Roma 5 4 1 0 13
2 Inter 5 4 1 0 13
3 Lazio 5 4 1 0 13
4 Cagliari 5 4 0 1 12
5 AC Milan 5 3 2 0 11
6 Frosinone 5 3 1 1 10
7 Juventus 5 3 1 1 10
8 Como 5 3 1 1 10
9 Napoli 5 2 1 2 7
10 Sassuolo 5 2 1 2 7
11 Atalanta 5 2 0 3 6
12 Lecce 5 2 0 3 6
13 Udinese 5 1 1 3 4
14 Torino 5 1 1 3 4
15 Parma 5 1 1 3 4
16 Monza 5 1 1 3 4
17 Fiorentina 5 1 1 3 4
18 Bologna 5 0 2 3 2
19 Genoa 5 0 1 4 1
20 Venezia 5 0 0 5 0
# TEAM MP GS GC +/- PTS
1 Inter 5 15 8 +7 13
2 AS Roma 5 14 3 +11 13
3 AC Milan 5 10 4 +6 11
4 Frosinone 5 9 4 +5 10
5 Como 5 9 6 +3 10
6 Sassuolo 5 9 9 0 7
7 Lazio 5 8 3 +5 13
8 Juventus 5 8 4 +4 10
9 Udinese 5 8 11 -3 4
10 Monza 5 8 12 -4 4
11 Napoli 5 7 6 +1 7
12 Fiorentina 5 6 12 -6 4
13 Cagliari 5 5 2 +3 12
14 Atalanta 5 5 7 -2 6
15 Torino 5 5 8 -3 4
16 Lecce 5 5 10 -5 6
17 Parma 5 4 7 -3 4
18 Venezia 5 4 13 -9 0
19 Bologna 5 3 6 -3 2
20 Genoa 5 3 10 -7 1
# TEAM MP xG xGC +/- PTS
1 Inter 5 10.3 4.3 +6.0 13
2 AS Roma 5 9.7 4.2 +5.5 13
3 Juventus 5 6.0 2.2 +3.8 10
4 Monza 5 8.8 5.3 +3.5 4
5 AC Milan 5 6.8 4.0 +2.8 11
6 Napoli 5 5.4 2.9 +2.5 7
7 Sassuolo 5 7.9 6.2 +1.7 7
8 Lazio 5 7.6 6.1 +1.5 13
9 Como 5 8.0 6.7 +1.3 10
10 Bologna 5 5.8 5.0 +0.8 2
11 Fiorentina 5 6.5 6.0 +0.5 4
12 Genoa 5 3.9 4.7 -0.8 1
13 Torino 5 3.8 5.2 -1.4 4
14 Udinese 5 6.7 9.2 -2.5 4
15 Frosinone 5 7.4 10.1 -2.7 10
16 Cagliari 5 5.2 8.2 -3.0 12
17 Venezia 5 7.7 11.2 -3.5 0
18 Atalanta 5 2.7 6.5 -3.8 6
19 Parma 5 3.2 8.3 -5.1 4
20 Lecce 5 4.7 11.8 -7.1 6