Prediction Audit: Sassuolo W vs Roma W Prediction, Odds & AI Betting Tips

Sep 13, 2026 - 10:00
1 1.25
7 1.35
xG Accuracy: 20%

AI correctly predicted the Roma W win.

The match finished 1–7, 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 Under 2.5 Over 2.5 (8 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Roma W Roma W ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-7 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Roma W higher than the statistical model.

Largest probability gap: Roma W -13.9 pp

Outcome Model Closing Market Difference Signal
Sassuolo W 32.9% 24.3% +8.6 pp Model Higher
Draw 29.6% 24.3% +5.3 pp Model Higher
Roma W 37.5% 51.5% -13.9 pp Market Higher

The closing market estimates Roma W's win probability at 51.5%, compared with the model's estimate of 37.5%, a difference of 13.9 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 (Roma W win 1–7).

Market Assessment

The market is materially more optimistic about Roma W 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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 8 goals materialised

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 (8 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Roma W higher (51.4% vs model 37.5%, 13.9 pp), but the model's lean was validated (Roma W win 1–7).

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

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

  1. Sep 13, 2026 · 10:02 UTC Forecast generated
    • Model 1X2 · Sassuolo W 32.9% · Draw 29.6% · Roma W 37.6%
    • xG · Sassuolo W 1.25 — Roma W 1.35
  2. Sep 13, 2026 · 09:33 UTC Opening odds snapshot PRE30
    • 1X2 odds · Sassuolo W 3.73 · Draw 3.73 · Roma W 1.76
    • Implied 1X2 · Sassuolo W 24.3% · Draw 24.3% · Roma W 51.5%
    • Bookmaker · Pinnacle
  3. Sep 13, 2026 · 10:02 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Sassuolo W 3.73 · Draw 3.73 · Roma W 1.76
    • Implied 1X2 · Sassuolo W 24.3% · Draw 24.3% · Roma W 51.5%
    • Bookmaker · Pinnacle
  4. Sep 13, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Roma W win · 1–7
  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 56/100 · Moderate
  • Validation: Warning
  • Large market gap (14 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 30/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 09, 2026 · 00:43 UTC Snapshot ID: dp-7691443

Closing Odds 1.76
AI Fair Odds —
CLV Pending
Final Result Roma W win · Sassuolo W 1–7 Roma W
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

Pre-match snapshot for this fixture.

  • League: Serie A Cup Women
  • Fixture: Sassuolo W vs Roma W
  • Kickoff: 2026-09-13 10:00:00
  • 1X2 (model): Home 32.9% · Draw 29.6% · Away 37.6%
  • xG (showing): Sassuolo W 1.25 — Roma W 1.35 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 42.0% · Probability edge: +9.8 pts · Est. EV: +16.6%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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.

Early match state can move realised goals away from pre-kick projections.

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 30, 2026 (UTC)

Get Premium Predictions for Sassuolo W & Roma W!

Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.

Subscribe Now
Back to Predictions