Statistics / Football / Italy. Coppa Italia Serie D / Sasso Marconi Zola vs Cittadella Vis Modena

Sasso Marconi Zola vs Cittadella Vis Modena Statistics & Analysis

Oct 07, 2026 - 13:00
1 1.30
0 1.30
xG Accuracy: 64%
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 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Sasso Marconi Zola Sasso Marconi Zola ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-0 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Oct 01, 2026 · 01:48 UTC Snapshot ID: dp-12185212

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Sasso Marconi Zola win · Sasso Marconi Zola 1–0 Cittadella Vis Modena
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Coppa Italia Serie D
  • Fixture: Sasso Marconi Zola vs Cittadella Vis Modena
  • Kickoff: 2026-10-07 13:00:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): Sasso Marconi Zola 1.3 — Cittadella Vis Modena 1.3 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Over 2.5 goals
  • Model: 48.2% · Implied: 43.5% · Probability edge: +4.7 pts · Est. EV: +4.1%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

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

October 08, 2026 (UTC)

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