Predictions / Football / World. Friendlies Clubs / Genoa vs Vicenza Virtus

Prediction Audit: Genoa vs Vicenza Virtus Prediction, Odds & AI Betting Tips

Jul 25, 2026 - 15:00
2 1.34
2 1.26
xG Accuracy: 68%

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

The model had projected Genoa at 43.1%, 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 Yes Yes ✔ Correct
  • 1X2 Genoa Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Genoa higher than the statistical model.

Largest probability gap: Genoa -12.2 pp

Outcome Model Closing Market Difference Signal
Genoa 43.1% 55.3% -12.2 pp Market Higher
Draw 28.5% 25.1% +3.4 pp Aligned
Vicenza Virtus 28.4% 19.6% +8.8 pp Model Higher

The closing market estimates Genoa's win probability at 55.3%, compared with the model's estimate of 43.1%, a difference of 12.2 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: PRE5.

After full time, the result was Draw 2–2.

Market Assessment

The market is materially more optimistic about Genoa 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 worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • 1X2: model leaned Genoa; match finished Draw

Market lesson

The closing market differed from the model on Genoa by 12.2 percentage points (55.3% vs model 43.1%) — 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. Jul 25, 2026 · 22:08 UTC Forecast generated
    • Model 1X2 · Genoa 43.1% · Draw 28.5% · Vicenza Virtus 28.4%
    • xG · Genoa 1.34 — Vicenza Virtus 1.26
  2. Jul 25, 2026 · 14:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Genoa 1.61 · Draw 3.54 · Vicenza Virtus 4.54
    • Implied 1X2 · Genoa 55.3% · Draw 25.1% · Vicenza Virtus 19.6%
    • Bookmaker · Pinnacle
  3. Jul 25, 2026 · 14:58 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Genoa 1.61 · Draw 3.54 · Vicenza Virtus 4.54
    • Implied 1X2 · Genoa 55.3% · Draw 25.1% · Vicenza Virtus 19.6%
    • Bookmaker · Pinnacle
  4. Jul 25, 2026 · 15:00 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 57/100 · Moderate
  • Validation: Warning
  • Large market gap (12 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 39/100
Betting Confidence 45/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:08 UTC Snapshot ID: dp-1456299

Closing Odds 1.61
AI Fair Odds —
CLV Pending
Final Result Draw · Genoa 2–2 Vicenza Virtus
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: Club Friendlies
  • Fixture: Genoa vs Vicenza Virtus
  • Kickoff: 2026-07-25 15:00:00
  • 1X2 (model): Home 50.0% · Draw 50.0% · Away 0.0%
  • xG (showing): Genoa 1.34 — Vicenza Virtus 1.26 (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): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

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

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 30, 2026 (UTC)

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