Statistics / Football / England. FA WSL / Manchester City W vs Birmingham City W

Manchester City W vs Birmingham City W Statistics & Analysis

Sep 06, 2026 - 13:30
3 1.51
1 1.09
xG Accuracy: 65%
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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Manchester City W Manchester City W ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 3-1 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 07:19 UTC Snapshot ID: dp-6360230

Closing Odds 1.06
AI Fair Odds —
CLV +0.0%
Final Result Manchester City W win · Manchester City W 3–1 Birmingham City W
Prediction ✔ Correct
Decision Grade B-

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 PRE10 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Birmingham City W (1X2), Under 2.5 goals, BTTS Yes 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 Under 2.5 goals by about 30.1 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Manchester City W (1X2) 45.3 87.5 -42.2
Draw (1X2) 28.9 8.4 +20.5
Birmingham City W (1X2) 25.8 4.0 +21.8
Over 2.5 goals 48.2 78.3 -30.1
Under 2.5 goals 51.8 21.7 +30.1
BTTS Yes 53.3 42.4 +10.9
BTTS No 46.7 57.6 -10.9
What this means

In plain terms: the model lands near 51.8% on Under 2.5 goals, while the closing snapshot implied about 21.7%. The difference — about 30.1 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: PRE10 → PRE1 · Book: Bet365

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 (PRE10) Closing (PRE1) Implied Δ (pp)
Manchester City W (1X2) 1.06 1.06 0.0
Draw (1X2) 11.0 11.0 0.0
Birmingham City W (1X2) 23.0 23.0 0.0
Over 2.5 goals 1.2 1.2 0.0
Under 2.5 goals 4.33 4.33 0.0
BTTS Yes 2.2 2.2 0.0
BTTS No 1.62 1.62 0.0

AI match briefing

AI Match Summary

Model favours Manchester City W; market prices Manchester City W instead — inputs may be missing or stale.

  • Model: Manchester City W 1.51 xG vs Birmingham City W 1.09 → Manchester City W 45.3%
  • Market: Manchester City W ~87.5% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 53.3% · No 46.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes

Historical Recommendation

Historical Decision: Wait - 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 01, 2026 (UTC)

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Back to Statistics
FA WSL FA WSL — Standings
# TEAM MP W D L PTS
1 Manchester City W 4 4 0 0 12
2 London City Lionesses 4 3 0 1 9
3 Tottenham Hotspur W 3 2 1 0 7
4 Chelsea W 3 2 1 0 7
5 Everton W 3 2 0 1 6
6 Arsenal W 3 1 2 0 5
7 Liverpool W 3 1 1 1 4
8 Crystal Palace W 3 1 1 1 4
9 West Ham W 3 1 0 2 3
10 Aston Villa W 3 0 2 1 2
11 Brighton W 4 0 2 2 2
12 Birmingham City W 3 0 1 2 1
13 Manchester United W 3 0 1 2 1
14 Charlton Athletic W 4 0 0 4 0
# TEAM MP GS GC +/- PTS
1 Manchester City W 4 12 4 +8 12
2 Tottenham Hotspur W 3 11 2 +9 7
3 London City Lionesses 4 9 4 +5 9
4 Chelsea W 3 8 1 +7 7
5 Liverpool W 3 7 5 +2 4
6 West Ham W 3 3 5 -2 3
7 Aston Villa W 3 3 6 -3 2
8 Brighton W 4 3 6 -3 2
9 Birmingham City W 3 3 7 -4 1
10 Everton W 3 2 1 +1 6
11 Arsenal W 3 2 1 +1 5
12 Manchester United W 3 2 8 -6 1
13 Crystal Palace W 3 1 7 -6 4
14 Charlton Athletic W 4 1 10 -9 0
# TEAM MP xG xGC +/- PTS
1 London City Lionesses 4 1.2 0.2 +1.0 9
2 Manchester United W 3 0.2 1.2 -1.0 1
3 Manchester City W 4 — — — 12
4 Tottenham Hotspur W 3 — — — 7
5 Chelsea W 3 — — — 7
6 Everton W 3 — — — 6
7 Arsenal W 3 — — — 5
8 Liverpool W 3 — — — 4
9 Crystal Palace W 3 — — — 4
10 West Ham W 3 — — — 3
11 Aston Villa W 3 — — — 2
12 Brighton W 4 — — — 2
13 Birmingham City W 3 — — — 1
14 Charlton Athletic W 4 — — — 0