Predictions / Football / Italy. Serie A / Pisa vs Lecce

Prediction Audit: Pisa vs Lecce Prediction, Odds & AI Betting Tips

Pisa Pisa
May 01, 2026 - 18:45
1 1.33
2 1.06
xG Accuracy: 70%
Lecce Lecce

The model missed the final outcome (Lecce win 1–2).

The model had projected Pisa at 41.1%, 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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Pisa Lecce ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 1-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The model rates Pisa considerably stronger than the closing betting market.

Largest probability gap: Pisa +14.5 pp

Outcome Model Closing Market Difference Signal
Pisa 41.1% 26.7% +14.5 pp Model Edge
Draw 30.8% 32.1% -1.3 pp Aligned
Lecce 28.1% 41.2% -13.2 pp Market Higher

The statistical model estimates Pisa's win probability at 41.1%, compared with the closing market's implied probability of 26.7%, a difference of 14.5 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 result was Lecce win 1–2.

Market Assessment

The statistical fair estimate is materially higher than the market on Pisa.

  • The model may see a slower-scoring or closer matchup than the market.
  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

The closing market differed from the model on Pisa by 14.5 percentage points (26.6% vs model 41.1%) — 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. Before kickoff Forecast generated
    • Model 1X2 · Pisa 41.1% · Draw 30.8% · Lecce 28.1%
    • xG · Pisa 1.33 — Lecce 1.06
  2. May 03, 2026 · 12:50 UTC Opening odds snapshot PRE10
    • 1X2 odds · Pisa 3.65 · Draw 3.03 · Lecce 2.36
    • Implied 1X2 · Pisa 26.7% · Draw 32.1% · Lecce 41.2%
    • Bookmaker · Pinnacle
  3. May 03, 2026 · 12:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Pisa 3.65 · Draw 3.03 · Lecce 2.36
    • Implied 1X2 · Pisa 26.7% · Draw 32.1% · Lecce 41.2%
    • Bookmaker · Pinnacle
  4. May 01, 2026 · 18:45 UTC Kickoff
  5. FT Full-time result Lecce win · 1–2
  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 56/100 · Moderate
  • Validation: Warning
  • Large market gap (14 pp)
Evidence ★★★★★
  • Statistical edge detected
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 9/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 31, 2026 · 17:17 UTC Snapshot ID: dp-2635123

Closing Odds 3.65
AI Fair Odds 2.43
CLV Pending
Final Result Lecce win · Pisa 1–2 Lecce
Prediction ✖ Missed
Decision Grade F

Probability Calibration

  • Expected: 41.1%
  • Historical Bucket: 40–45% — Actual 0.0% (n=2)

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.

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Serie A Serie A — Standings
# TEAM MP W D L PTS
1 Inter 38 27 6 5 87
2 Napoli 38 23 7 8 76
3 AS Roma 38 23 4 11 73
4 Como 38 20 11 7 71
5 AC Milan 38 20 10 8 70
6 Juventus 38 19 12 7 69
7 Atalanta 38 15 14 9 59
8 Bologna 38 16 8 14 56
9 Lazio 38 14 12 12 54
10 Udinese 38 14 8 16 50
11 Sassuolo 38 14 7 17 49
12 Torino 38 12 9 17 45
13 Parma 38 11 12 15 45
14 Cagliari 38 11 10 17 43
15 Fiorentina 38 9 15 14 42
16 Genoa 38 10 11 17 41
17 Lecce 38 10 8 20 38
18 Cremonese 38 8 10 20 34
19 Verona 38 3 12 23 21
20 Pisa 38 2 12 24 18
# TEAM MP GS GC +/- PTS
1 Inter 38 89 35 +54 87
2 Como 38 65 29 +36 71
3 Juventus 38 61 34 +27 69
4 AS Roma 38 59 31 +28 73
5 Napoli 38 58 36 +22 76
6 AC Milan 38 53 35 +18 70
7 Atalanta 38 51 36 +15 59
8 Bologna 38 49 46 +3 56
9 Sassuolo 38 46 50 -4 49
10 Udinese 38 45 48 -3 50
11 Torino 38 44 63 -19 45
12 Lazio 38 41 40 +1 54
13 Fiorentina 38 41 50 -9 42
14 Genoa 38 41 51 -10 41
15 Cagliari 38 40 53 -13 43
16 Cremonese 38 32 57 -25 34
17 Parma 38 28 46 -18 45
18 Lecce 38 28 50 -22 38
19 Pisa 38 26 71 -45 18
20 Verona 38 25 61 -36 21
# TEAM MP xG xGC +/- PTS
1 Inter 38 71.5 34.8 +36.7 87
2 Juventus 38 65.6 32.0 +33.6 69
3 Como 38 62.2 33.8 +28.4 71
4 AC Milan 38 59.6 43.3 +16.3 70
5 AS Roma 38 55.4 39.1 +16.3 73
6 Atalanta 38 57.3 42.2 +15.1 59
7 Napoli 38 49.7 36.7 +13.0 76
8 Fiorentina 38 49.8 47.5 +2.3 42
9 Bologna 38 44.0 45.8 -1.8 56
10 Lazio 38 41.0 43.5 -2.5 54
11 Genoa 38 45.1 48.8 -3.7 41
12 Torino 38 44.8 52.8 -8.0 45
13 Udinese 38 42.0 52.2 -10.2 50
14 Sassuolo 38 42.6 55.3 -12.7 49
15 Verona 38 35.7 50.4 -14.7 21
16 Cagliari 38 38.6 53.8 -15.2 43
17 Pisa 38 39.6 58.9 -19.3 18
18 Cremonese 38 35.0 57.8 -22.8 34
19 Parma 38 32.2 56.6 -24.4 45
20 Lecce 38 30.9 57.4 -26.5 38
Serie A Italy. Serie A Predictions