Predictions / Football / San-Marino. Campionato / Fiorentino vs Virtus

Prediction Audit: Fiorentino vs Virtus Prediction, Odds & AI Betting Tips

Sep 04, 2026 - 19:15
0 1.09
1 1.51
xG Accuracy: 64%

AI correctly predicted the Virtus win.

The match finished 0–1, 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 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Virtus Virtus ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 0-2, 1-0 0-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Virtus higher than the statistical model.

Largest probability gap: Virtus -20.4 pp

Outcome Model Closing Market Difference Signal
Fiorentino 25.8% 14.3% +11.5 pp Model Edge
Draw 28.9% 20.0% +8.9 pp Model Higher
Virtus 45.3% 65.7% -20.4 pp Market Higher

The closing market estimates Virtus's win probability at 65.7%, compared with the model's estimate of 45.3%, a difference of 20.4 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 (Virtus win 0–1).

Post Match Insights

What worked

  • Virtus attacking xG significantly stronger (1.51 vs 1.09)
  • Under 2.5 goals aligned with the xG profile
  • Exact score 0–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Virtus higher (65.7% vs model 45.3%, 20.4 pp), but the model's lean was validated (Virtus win 0–1).

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Prediction Timeline

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

  1. Sep 04, 2026 · 19:14 UTC Forecast generated
    • Model 1X2 · Fiorentino 25.8% · Draw 28.9% · Virtus 45.3%
    • xG · Fiorentino 1.09 — Virtus 1.51
  2. Sep 04, 2026 · 18:48 UTC Opening odds snapshot PRE30
    • 1X2 odds · Fiorentino 6.16 · Draw 4.41 · Virtus 1.34
    • Implied 1X2 · Fiorentino 14.3% · Draw 20.0% · Virtus 65.7%
    • Bookmaker · Pinnacle
  3. Sep 04, 2026 · 19:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Fiorentino 6.16 · Draw 4.41 · Virtus 1.34
    • Implied 1X2 · Fiorentino 14.3% · Draw 20.0% · Virtus 65.7%
    • Bookmaker · Pinnacle
  4. Sep 04, 2026 · 19:15 UTC Kickoff
  5. FT Full-time result Virtus win · 0–1
  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 (20 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: Aug 29, 2026 · 03:07 UTC Snapshot ID: dp-5931217

Closing Odds 1.34
AI Fair Odds —
CLV Pending
Final Result Virtus win · Fiorentino 0–1 Virtus
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

Quick read on how the model reads this matchup.

  • League: Campionato
  • Fixture: Fiorentino vs Virtus
  • Kickoff: 2026-09-04 19:15:00
  • 1X2 (model): Home 25.8% · Draw 28.9% · Away 45.3%
  • xG (showing): Fiorentino 1.09 — Virtus 1.51 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: 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 53.3% · No 46.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.3% · No 46.7%
  • Correct score (top bin): 1-1 (12.2%)

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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

October 03, 2026 (UTC)

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Campionato Campionato — Standings
# TEAM MP W D L PTS
1 Folgore 4 4 0 0 12
2 Tre Penne 4 4 0 0 12
3 Virtus 4 3 1 0 10
4 Tre Fiori 4 3 0 1 9
5 Cosmos 4 2 1 1 7
6 Domagnano 4 2 0 2 6
7 La Fiorita 4 1 3 0 6
8 Libertas 4 1 2 1 5
9 Fiorentino 4 1 1 2 4
10 Juvenes / Dogana 4 1 0 3 3
11 Cailungo 4 1 0 3 3
12 Murata 4 1 0 3 3
13 San Giovanni 4 1 0 3 3
14 Pennarossa 4 1 0 3 3
15 San Marino Academy 4 0 2 2 2
16 Faetano 4 0 2 2 2
# TEAM MP GS GC +/- PTS
1 Tre Fiori 4 14 5 +9 9
2 Folgore 4 10 1 +9 12
3 Tre Penne 4 9 2 +7 12
4 Cosmos 4 9 4 +5 7
5 Domagnano 4 7 6 +1 6
6 Pennarossa 4 7 16 -9 3
7 Virtus 4 6 2 +4 10
8 Juvenes / Dogana 4 6 6 0 3
9 La Fiorita 4 4 3 +1 6
10 Libertas 4 4 5 -1 5
11 Fiorentino 4 4 5 -1 4
12 Cailungo 4 4 5 -1 3
13 Murata 4 4 10 -6 3
14 San Giovanni 4 4 10 -6 3
15 San Marino Academy 4 1 5 -4 2
16 Faetano 4 1 9 -8 2