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

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

Aug 29, 2026 - 16:30
2 1.86
1 1.22
xG Accuracy: 91%

AI correctly predicted the Sassuolo win.

The match finished 2–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

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 Yes ✔ Correct
  • 1X2 Sassuolo Sassuolo ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-0, 2-0, 1-2 2-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The model rates Sassuolo considerably stronger than the closing betting market.

Largest probability gap: Sassuolo +9.6 pp

Outcome Model Closing Market Difference Signal
Sassuolo 51.0% 41.4% +9.6 pp Model Higher
Draw 25.4% 29.8% -4.5 pp Aligned
Torino 23.6% 28.8% -5.2 pp Market Higher

The statistical model estimates Sassuolo's win probability at 51.0%, compared with the closing market's implied probability of 41.4%, a difference of 9.6 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 (Sassuolo win 2–1).

Market Assessment

The fair estimate shows a modest edge over current market pricing on Sassuolo.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 3.08) — 3 goals materialised
  • Sassuolo attacking xG significantly stronger (1.86 vs 1.22)
  • Both Teams To Score (Yes) matched the full-time result

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Sassuolo more conservatively (41.4% vs model 51.0%, 9.6 pp), but the model's lean was validated (Sassuolo win 2–1).

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Prediction Timeline

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

  1. Aug 29, 2026 · 16:29 UTC Forecast generated
    • Model 1X2 · Sassuolo 51.0% · Draw 25.4% · Torino 23.6%
    • xG · Sassuolo 1.86 — Torino 1.22
  2. Aug 29, 2026 · 16:01 UTC Opening odds snapshot PRE30
    • 1X2 odds · Sassuolo 2.35 · Draw 3.26 · Torino 3.38
    • Implied 1X2 · Sassuolo 41.4% · Draw 29.8% · Torino 28.8%
    • Bookmaker · Pinnacle
  3. Aug 29, 2026 · 16:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Sassuolo 2.35 · Draw 3.26 · Torino 3.38
    • Implied 1X2 · Sassuolo 41.4% · Draw 29.8% · Torino 28.8%
    • Bookmaker · Pinnacle
  4. Aug 29, 2026 · 16:30 UTC Kickoff
  5. FT Full-time result Sassuolo win · 2–1
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 74/100 · High
  • Validation: Pass
Evidence ★★★★★
  • Statistical edge detected
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 51/100
Betting Confidence 77/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 23, 2026 · 04:29 UTC Snapshot ID: dp-5156511

Closing Odds 2.35
AI Fair Odds —
CLV Pending
Final Result Sassuolo win · Sassuolo 2–1 Torino
Prediction ✔ Correct
Decision Grade A

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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Serie A
  • Fixture: Sassuolo vs Torino
  • Kickoff: 2026-08-29 16:30:00
  • 1X2 (model): Home 51.0% · Draw 25.4% · Away 23.6%
  • xG (showing): Sassuolo 1.86 — Torino 1.22 (total xG ≈ 3.08)
  • Primary / headline line (Betting Primary Pick when shown): Sassuolo
  • Model: 51.0% · Implied: 41.4% · Probability edge: +9.6 pts · Est. EV: +6.0%
  • BTTS (model): Yes 60.9% · No 39.1%
  • Correct score (top bin): 1-1 (10.4%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

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

Historical Recommendation

Historical Decision: No Primary Bet

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 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