Predictions / Football / England. Women's Championship / Durham W vs Nottingham Forest W

Prediction Audit: Durham W vs Nottingham Forest W Prediction, Odds & AI Betting Tips

Sep 20, 2026 - 11:00
1 1.32
2 1.28
xG Accuracy: 75%

The model missed the final outcome (Nottingham Forest W win 1–2).

The model had projected Durham W at 36.1%, but the full-time result went the other way.

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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Durham W Nottingham Forest W ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-2 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Nottingham Forest W higher than the statistical model.

Largest probability gap: Nottingham Forest W -22.3 pp

Outcome Model Closing Market Difference Signal
Durham W 36.1% 20.1% +16.1 pp Model Edge
Draw 29.6% 23.4% +6.2 pp Model Higher
Nottingham Forest W 34.2% 56.5% -22.3 pp Market Higher

The closing market estimates Nottingham Forest W's win probability at 56.5%, compared with the model's estimate of 34.2%, a difference of 22.3 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 result was Nottingham Forest W win 1–2.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Exact score 1–2 fell within the model's highlighted bins

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 (3 goals)

Market lesson

The closing market differed from the model on Durham W by 22.3 percentage points (58.4% vs model 36.1%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 20, 2026 · 11:01 UTC Forecast generated
    • Model 1X2 · Durham W 36.1% · Draw 29.7% · Nottingham Forest W 34.2%
    • xG · Durham W 1.32 — Nottingham Forest W 1.28
  2. Sep 20, 2026 · 10:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Durham W 4.51 · Draw 3.86 · Nottingham Forest W 1.60
    • Implied 1X2 · Durham W 20.1% · Draw 23.4% · Nottingham Forest W 56.5%
    • Bookmaker · Pinnacle
  3. Sep 20, 2026 · 11:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Durham W 4.51 · Draw 3.86 · Nottingham Forest W 1.60
    • Implied 1X2 · Durham W 20.1% · Draw 23.4% · Nottingham Forest W 56.5%
    • Bookmaker · Pinnacle
  4. Sep 20, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result Nottingham Forest W win · 1–2
  6. FT Prediction missed 1X2 lean did not match 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 Missed
Pre-match metrics (historical context)
Prediction Reliability 52/100 · Moderate
  • Validation: Warning
  • Large market gap (22 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 14/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 01:12 UTC Snapshot ID: dp-8663627

Closing Odds 1.6
AI Fair Odds —
CLV Pending
Final Result Nottingham Forest W win · Durham W 1–2 Nottingham Forest W
Prediction ✖ Missed
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

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

  • League: Women's Championship
  • Fixture: Durham W vs Nottingham Forest W
  • Kickoff: 2026-09-20 11:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Durham W 1.32 — Nottingham Forest W 1.28 (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: 44.2% · Probability edge: +7.6 pts · Est. EV: +12.9%
  • 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.

1X2 can look balanced even when side markets show clearer structure.

Historical Recommendation

Historical Decision: Wait

Outcome: Missed — Pre-match 1X2 lean did not match 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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Women's Championship Women's Championship — Standings
# TEAM MP W D L PTS
1 Newcastle United W 3 3 0 0 9
2 Sunderland W 3 2 1 0 7
3 Wolverhampton W 3 2 0 1 6
4 Leicester City WFC 3 2 0 1 6
5 Southampton W 3 1 2 0 5
6 Nottingham Forest W 3 1 2 0 5
7 Ipswich Town W 3 1 2 0 5
8 Bristol City W 4 1 1 2 4
9 Watford W 3 0 2 1 2
10 Burnley W 4 0 2 2 2
11 Durham W 3 0 0 3 0
12 Sheffield United W 3 0 0 3 0
# TEAM MP GS GC +/- PTS
1 Newcastle United W 3 7 1 +6 9
2 Sunderland W 3 6 2 +4 7
3 Wolverhampton W 3 6 3 +3 6
4 Bristol City W 4 6 6 0 4
5 Leicester City WFC 3 5 3 +2 6
6 Nottingham Forest W 3 5 4 +1 5
7 Durham W 3 4 9 -5 0
8 Southampton W 3 3 1 +2 5
9 Watford W 3 3 7 -4 2
10 Ipswich Town W 3 2 1 +1 5
11 Sheffield United W 3 2 8 -6 0
12 Burnley W 4 1 5 -4 2