Predictions / Football / Italy. Serie B / Padova vs Verona

Prediction Audit: Padova vs Verona Prediction, Odds & AI Betting Tips

Padova Padova
Aug 29, 2026 - 19:00
1 1.44
1 1.66
xG Accuracy: 74%
Verona Verona

The model missed the final outcome (Draw 1–1).

The model had projected Verona at 40.0%, 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 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Verona Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 2-1, 0-1, 1-0 1-1 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Verona +3.5 pp

Outcome Model Closing Market Difference Signal
Padova 32.3% 32.7% -0.4 pp Aligned
Draw 27.7% 30.8% -3.1 pp Aligned
Verona 40.0% 36.5% +3.5 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 result was Draw 1–1.

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

  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
  • 1X2: model leaned Verona; match finished Draw

Market lesson

The full-time result was Draw 1–1, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Aug 29, 2026 · 20:03 UTC Forecast generated
    • Model 1X2 · Padova 32.3% · Draw 27.7% · Verona 40.0%
    • xG · Padova 1.44 — Verona 1.66
  2. Aug 29, 2026 · 18:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Padova 2.96 · Draw 3.14 · Verona 2.65
    • Implied 1X2 · Padova 32.7% · Draw 30.8% · Verona 36.5%
    • Bookmaker · Pinnacle
  3. Aug 29, 2026 · 19:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Padova 2.96 · Draw 3.14 · Verona 2.65
    • Implied 1X2 · Padova 32.7% · Draw 30.8% · Verona 36.5%
    • Bookmaker · Pinnacle
  4. Aug 29, 2026 · 19:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
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 82/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 23, 2026 · 04:55 UTC Snapshot ID: dp-5161561

Closing Odds 2.65
AI Fair Odds —
CLV Pending
Final Result Draw · Padova 1–1 Verona
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: Serie B
  • Fixture: Padova vs Verona
  • Kickoff: 2026-08-29 19:00:00
  • 1X2 (model): Home 32.3% · Draw 27.7% · Away 40.0%
  • xG (showing): Padova 1.44 — Verona 1.66 (total xG ≈ 3.1)
  • Value headline: None (actionable) — best tracked EV is about +0.7%, 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 Over 2.5 (Under 2.5 40.1% · Over 2.5 59.9%); BTTS Yes (Yes 63.2% · No 36.8%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 63.2% · No 36.8%
  • Correct score (top bin): 1-1 (10.8%)

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: No Primary Bet

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 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