Statistics / Football / Italy. Serie A Women / Juventus W vs Napoli W

Juventus W vs Napoli W Statistics & Analysis

Sep 26, 2026 - 10:30
3 1.41
1 1.19
xG Accuracy: 61%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

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 Juventus W Juventus W ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 0-0 3-1 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 00:48 UTC Snapshot ID: dp-10079154

Closing Odds 1.4
AI Fair Odds —
CLV +0.0%
Final Result Juventus W win · Juventus W 3–1 Napoli W
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Napoli W (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Napoli W (1X2) by about 15.4 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Juventus W (1X2) 40.5 65.5 -25.0
Draw (1X2) 29.4 19.9 +9.5
Napoli W (1X2) 30.1 14.7 +15.4
Over 2.5 goals 48.2 56.9 -8.7
Under 2.5 goals 51.8 43.1 +8.7
What this means

In plain terms: the model lands near 30.1% on Napoli W (1X2), while the closing snapshot implied about 14.7%. The difference — about 15.4 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Juventus W (1X2) 1.4 1.4 0.0
Draw (1X2) 4.61 4.61 0.0
Napoli W (1X2) 6.25 6.25 0.0
Over 2.5 goals 1.65 1.65 0.0
Under 2.5 goals 2.18 2.18 0.0

AI match briefing

AI Match Summary

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

  • League: Serie A Women
  • Fixture: Juventus W vs Napoli W
  • Kickoff: 2026-09-26 10:30:00
  • 1X2 (model): Home 40.5% · Draw 29.4% · Away 30.1%
  • xG (showing): Juventus W 1.41 — Napoli W 1.19 (total xG ≈ 2.6)
  • 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 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.2% · No 45.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.2% · No 45.8%
  • Correct score (top bin): 1-1 (12.5%)

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Wait - 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 30, 2026 (UTC)

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