Predictions / Football / Italy. Serie A Women / Roma W vs Ternana W

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

May 02, 2026 - 16:30
2 1.45
0 1.25
xG Accuracy: 61%

AI correctly predicted the Roma W win.

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

Model vs Closing Market

Strong Disagreement

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

Largest probability gap: Roma W -31.7 pp

Outcome Model Closing Market Difference Signal
Roma W 41.8% 73.4% -31.7 pp Market Higher
Draw 25.7% 14.9% +10.7 pp Model Edge
Ternana W 32.6% 11.6% +21.0 pp Model Edge

The closing market estimates Roma W's win probability at 73.4%, compared with the model's estimate of 41.8%, a difference of 31.7 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 (Roma W win 2–0).

Post Match Insights

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 (2 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Roma W higher (73.5% vs model 41.8%, 31.7 pp), but the model's lean was validated (Roma W win 2–0).

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Prediction Timeline

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

  1. Before kickoff Forecast generated
    • Model 1X2 · Roma W 41.8% · Draw 25.7% · Ternana W 32.6%
    • xG · Roma W 1.45 — Ternana W 1.25
  2. May 03, 2026 · 12:50 UTC Opening odds snapshot PRE10
    • 1X2 odds · Roma W 1.25 · Draw 6.14 · Ternana W 7.91
    • Implied 1X2 · Roma W 73.4% · Draw 14.9% · Ternana W 11.6%
    • Bookmaker · Pinnacle
  3. May 03, 2026 · 12:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Roma W 1.25 · Draw 6.14 · Ternana W 7.91
    • Implied 1X2 · Roma W 73.4% · Draw 14.9% · Ternana W 11.6%
    • Bookmaker · Pinnacle
  4. May 02, 2026 · 16:30 UTC Kickoff
  5. FT Full-time result Roma W win · 2–0
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 33/100 · Low
  • Validation: Fail
  • Large market gap (32 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 9/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 16:42 UTC Snapshot ID: dp-1475743

Closing Odds 1.25
AI Fair Odds —
CLV Pending
Final Result Roma W win · Roma W 2–0 Ternana 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.

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Serie A Women Serie A Women — Standings
# TEAM MP W D L PTS
1 Roma W 22 17 4 1 55
2 Inter Milano W 22 13 5 4 44
3 Juventus W 22 11 6 5 39
4 Fiorentina W 22 10 6 6 36
5 Lazio W 22 10 3 9 33
6 Napoli W 22 8 8 6 32
7 AC Milan W 22 9 5 8 32
8 Como W 22 8 6 8 30
9 Sassuolo W 22 4 6 12 18
10 Ternana W 22 4 5 13 17
11 Parma W 22 2 10 10 16
12 Genoa W 22 2 4 16 10
# TEAM MP GS GC +/- PTS
1 Inter Milano W 22 49 26 +23 44
2 Roma W 22 44 19 +25 55
3 Juventus W 22 33 19 +14 39
4 Fiorentina W 22 33 30 +3 36
5 AC Milan W 22 31 26 +5 32
6 Lazio W 22 31 30 +1 33
7 Napoli W 22 30 25 +5 32
8 Como W 22 24 22 +2 30
9 Ternana W 22 19 40 -21 17
10 Genoa W 22 18 43 -25 10
11 Sassuolo W 22 17 34 -17 18
12 Parma W 22 16 31 -15 16