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

Durham W vs Nottingham Forest W Statistics & Analysis

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

Validation Report

Immutable Snapshot

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

Closing Odds 1.6
AI Fair Odds —
CLV +0.0%
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%

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 Durham W (1X2), Draw (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 Durham W (1X2) by about 16.0 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Durham W (1X2) 36.1 20.1 +16.0
Draw (1X2) 29.7 23.4 +6.2
Nottingham Forest W (1X2) 34.2 56.5 -22.3
Over 2.5 goals 48.2 57.2 -9.0
Under 2.5 goals 51.8 42.8 +9.0
What this means

In plain terms: the model lands near 36.1% on Durham W (1X2), while the closing snapshot implied about 20.1%. The difference — about 16.0 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)
Durham W (1X2) 4.51 4.51 0.0
Draw (1X2) 3.86 3.86 0.0
Nottingham Forest W (1X2) 1.6 1.6 0.0
Over 2.5 goals 1.63 1.63 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: 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 - No Primary Bet

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 28, 2026 (UTC)

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Back to Statistics
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