Predictions / Football / Italy. Serie B / Palermo vs Juve Stabia

Prediction Audit: Palermo vs Juve Stabia Prediction, Odds & AI Betting Tips

Aug 23, 2026 - 19:00
1 1.59
0 1.25
xG Accuracy: 60%

AI correctly predicted the Palermo win.

The match finished 1–0, validating the model's directional assessment.

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 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Palermo Palermo ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 1-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Palermo higher than the statistical model.

Largest probability gap: Palermo -12.7 pp

Outcome Model Closing Market Difference Signal
Palermo 49.2% 61.9% -12.7 pp Market Higher
Draw 27.0% 23.5% +3.5 pp Aligned
Juve Stabia 23.8% 14.6% +9.2 pp Model Higher

The closing market estimates Palermo's win probability at 61.9%, compared with the model's estimate of 49.2%, a difference of 12.7 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 (Palermo win 1–0).

Market Assessment

The market is materially more optimistic about Palermo 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

  • Exact score 1–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (1 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Palermo higher (61.9% vs model 49.2%, 12.7 pp), but the model's lean was validated (Palermo win 1–0).

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Prediction Timeline

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

  1. Aug 23, 2026 · 19:44 UTC Forecast generated
    • Model 1X2 · Palermo 49.2% · Draw 27.0% · Juve Stabia 23.8%
    • xG · Palermo 1.59 — Juve Stabia 1.25
  2. Aug 23, 2026 · 18:33 UTC Opening odds snapshot PRE30
    • 1X2 odds · Palermo 1.55 · Draw 4.08 · Juve Stabia 6.59
    • Implied 1X2 · Palermo 61.9% · Draw 23.5% · Juve Stabia 14.6%
    • Bookmaker · Pinnacle
  3. Aug 23, 2026 · 19:02 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Palermo 1.55 · Draw 4.08 · Juve Stabia 6.59
    • Implied 1X2 · Palermo 61.9% · Draw 23.5% · Juve Stabia 14.6%
    • Bookmaker · Pinnacle
  4. Aug 23, 2026 · 19:00 UTC Kickoff
  5. FT Full-time result Palermo win · 1–0
  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: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Warning
  • Large market gap (13 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 36/100
Betting Confidence 45/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 17, 2026 · 01:52 UTC Snapshot ID: dp-4371320

Closing Odds 1.55
AI Fair Odds —
CLV Pending
Final Result Palermo win · Palermo 1–0 Juve Stabia
Prediction ✔ Correct
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

Quick read on how the model reads this matchup.

  • League: Serie B
  • Fixture: Palermo vs Juve Stabia
  • Kickoff: 2026-08-23 19:00:00
  • 1X2 (model): Home 49.2% · Draw 27.0% · Away 23.8%
  • xG (showing): Palermo 1.59 — Juve Stabia 1.25 (total xG ≈ 2.84)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 46.0% · Over 2.5 54.0%); BTTS Yes (Yes 58.3% · No 41.7%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 58.3% · No 41.7%
  • Correct score (top bin): 1-1 (11.6%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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

Historical Recommendation

Historical Decision: Monitor

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