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

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

Sep 05, 2026 - 13:00
1 1.15
2 1.49
xG Accuracy: 83%

AI correctly predicted the Torino win.

The match finished 1–2, 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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Torino Torino ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 1-2 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Fiorentina higher than the statistical model.

Largest probability gap: Fiorentina -22.1 pp

Outcome Model Closing Market Difference Signal
Fiorentina 27.7% 49.8% -22.1 pp Market Higher
Draw 28.9% 27.9% +1.0 pp Aligned
Torino 43.4% 22.3% +21.1 pp Model Edge

The closing market estimates Fiorentina's win probability at 49.8%, compared with the model's estimate of 27.7%, a difference of 22.1 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: PRE1.

After full time, the model's directional lean matched the result (Torino win 1–2).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.64) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–2 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Torino higher (65.5% vs model 43.4%, 22.1 pp), but the model's lean was validated (Torino win 1–2).

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Prediction Timeline

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

  1. Sep 05, 2026 · 13:01 UTC Forecast generated
    • Model 1X2 · Fiorentina 27.7% · Draw 28.9% · Torino 43.4%
    • xG · Fiorentina 1.15 — Torino 1.49
  2. Sep 05, 2026 · 12:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Fiorentina 1.95 · Draw 3.48 · Torino 4.36
    • Implied 1X2 · Fiorentina 49.8% · Draw 27.9% · Torino 22.3%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 13:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Fiorentina 1.95 · Draw 3.48 · Torino 4.36
    • Implied 1X2 · Fiorentina 49.8% · Draw 27.9% · Torino 22.3%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Torino win · 1–2
  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 52/100 · Moderate
  • Validation: Warning
  • Large market gap (22 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 14/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 02:02 UTC Snapshot ID: dp-6138419

Closing Odds 1.95
AI Fair Odds —
CLV Pending
Final Result Torino win · Fiorentina 1–2 Torino
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 A
  • Fixture: Fiorentina vs Torino
  • Kickoff: 2026-09-05 13:00:00
  • 1X2 (model): Home 27.7% · Draw 28.9% · Away 43.4%
  • xG (showing): Fiorentina 1.15 — Torino 1.49 (total xG ≈ 2.64)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Torino
  • Model: 43.4% · Implied: 22.3% · Probability edge: +21.2 pts · Est. EV: +9.7%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.2%)

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

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

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 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