Predictions / Football / Italy. Serie B / Vicenza Virtus vs Catanzaro

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

Vicenza Virtus Vicenza Virtus
Aug 21, 2026 - 18:30
3 1.31
2 1.29
xG Accuracy: 52%
Catanzaro Catanzaro

AI correctly predicted the Vicenza Virtus win.

The match finished 3–2, 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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Vicenza Virtus Vicenza Virtus ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-2 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Catanzaro +4.7 pp

Outcome Model Closing Market Difference Signal
Vicenza Virtus 35.6% 39.9% -4.3 pp Aligned
Draw 29.6% 30.1% -0.4 pp Aligned
Catanzaro 34.7% 30.0% +4.7 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 (Vicenza Virtus win 3–2).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 5 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 (5 goals)
  • Exact score: outside the model's top score bins

Market lesson

The model's directional lean matched the full-time result (Vicenza Virtus win 3–2).

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Prediction Timeline

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

  1. Aug 21, 2026 · 18:31 UTC Forecast generated
    • Model 1X2 · Vicenza Virtus 35.6% · Draw 29.7% · Catanzaro 34.7%
    • xG · Vicenza Virtus 1.31 — Catanzaro 1.29
  2. Aug 21, 2026 · 18:07 UTC Opening odds snapshot PRE30
    • 1X2 odds · Vicenza Virtus 2.47 · Draw 3.24 · Catanzaro 3.07
    • Implied 1X2 · Vicenza Virtus 39.0% · Draw 29.7% · Catanzaro 31.3%
    • Bookmaker · Pinnacle
  3. Aug 21, 2026 · 18:31 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Vicenza Virtus 2.41 · Draw 3.20 · Catanzaro 3.21
    • Implied 1X2 · Vicenza Virtus 39.9% · Draw 30.1% · Catanzaro 30.0%
    • Bookmaker · Pinnacle
  4. Aug 21, 2026 · 18:30 UTC Kickoff
  5. FT Full-time result Vicenza Virtus win · 3–2
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 76/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 15, 2026 · 02:16 UTC Snapshot ID: dp-4037902

Closing Odds 3.21
AI Fair Odds —
CLV Pending
Final Result Vicenza Virtus win · Vicenza Virtus 3–2 Catanzaro
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

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

  • League: Serie B
  • Fixture: Vicenza Virtus vs Catanzaro
  • Kickoff: 2026-08-21 18:30:00
  • 1X2 (model): Home 35.6% · Draw 29.7% · Away 34.7%
  • xG (showing): Vicenza Virtus 1.31 — Catanzaro 1.29 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +0.5%, still below the +2.0% minimum for a headline / default stake (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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 B Serie B — Standings
# TEAM MP W D L PTS
1 Palermo 5 4 1 0 13
2 Sudtirol 5 3 2 0 11
3 Mantova 5 3 2 0 11
4 Modena 5 3 1 1 10
5 Ascoli 5 3 1 1 10
6 Padova 5 2 1 2 7
7 Benevento 5 2 1 2 7
8 Verona 5 2 1 2 7
9 Avellino 5 2 1 2 7
10 Cesena 5 1 4 0 7
11 Pisa 5 2 1 2 7
12 Arezzo 5 2 0 3 6
13 Empoli 5 2 0 3 6
14 Virtus Entella 5 1 2 2 5
15 Cremonese 5 1 2 2 5
16 Vicenza Virtus 5 1 2 2 5
17 Sampdoria 5 1 1 3 4
18 Juve Stabia 5 1 2 2 3
19 Catanzaro 5 1 0 4 3
20 Carrarese 5 0 1 4 1
# TEAM MP GS GC +/- PTS
1 Palermo 5 10 5 +5 13
2 Mantova 5 10 5 +5 11
3 Verona 5 10 7 +3 7
4 Sudtirol 5 9 3 +6 11
5 Modena 5 8 4 +4 10
6 Pisa 5 8 8 0 7
7 Ascoli 5 7 4 +3 10
8 Avellino 5 7 6 +1 7
9 Cesena 5 7 6 +1 7
10 Virtus Entella 5 7 6 +1 5
11 Vicenza Virtus 5 7 10 -3 5
12 Benevento 5 6 5 +1 7
13 Arezzo 5 6 13 -7 6
14 Padova 5 5 6 -1 7
15 Cremonese 5 5 7 -2 5
16 Sampdoria 5 5 9 -4 4
17 Catanzaro 5 5 9 -4 3
18 Empoli 5 4 6 -2 6
19 Juve Stabia 5 4 7 -3 3
20 Carrarese 5 2 6 -4 1
# TEAM MP xG xGC +/- PTS
1 Verona 5 4.8 2.2 +2.6 7
2 Modena 5 3.2 1.3 +1.9 10
3 Benevento 5 2.8 1.1 +1.7 7
4 Pisa 5 3.7 2.2 +1.5 7
5 Palermo 5 3.2 2.2 +1.0 13
6 Cesena 5 3.0 2.1 +0.9 7
7 Mantova 5 2.9 2.6 +0.3 11
8 Sampdoria 5 2.3 2.3 0.0 4
9 Carrarese 5 2.7 2.8 -0.1 1
10 Vicenza Virtus 5 2.9 3.1 -0.2 5
11 Arezzo 5 2.5 2.7 -0.2 6
12 Empoli 5 1.4 1.6 -0.2 6
13 Virtus Entella 5 1.2 1.4 -0.2 5
14 Juve Stabia 5 2.1 2.4 -0.3 3
15 Cremonese 5 0.7 1.6 -0.9 5
16 Catanzaro 5 2.8 3.8 -1.0 3
17 Padova 5 2.0 3.3 -1.3 7
18 Sudtirol 5 1.5 2.8 -1.3 11
19 Avellino 5 2.5 4.4 -1.9 7
20 Ascoli 5 2.9 4.9 -2.0 10