Statistics / Football / England. FA WSL / London City Lionesses vs Aston Villa W

London City Lionesses vs Aston Villa W Statistics & Analysis

May 16, 2026 - 12:00
2 1.45
1 1.25
xG Accuracy: 80%
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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 London City Lionesses London City Lionesses ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-2, 1-0, 2-2 2-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 03:00 UTC Snapshot ID: dp-1805128

Closing Odds 2.1
AI Fair Odds —
CLV +0.0%
Final Result London City Lionesses win · London City Lionesses 2–1 Aston Villa 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 PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Aston Villa W (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 Under 2.5 goals by about 6.2 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
London City Lionesses (1X2) 41.8 44.2 -2.4
Draw (1X2) 25.7 25.1 +0.5
Aston Villa W (1X2) 32.6 30.7 +1.9
Over 2.5 goals 50.6 56.8 -6.2
Under 2.5 goals 49.4 43.2 +6.2
What this means

In plain terms: the model lands near 49.4% on Under 2.5 goals, while the closing snapshot implied about 43.2%. The difference — about 6.2 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)
London City Lionesses (1X2) 2.1 2.1 0.0
Draw (1X2) 3.69 3.69 0.0
Aston Villa W (1X2) 3.02 3.02 0.0
Over 2.5 goals 1.66 1.66 0.0
Under 2.5 goals 2.18 2.18 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: FA WSL
  • Fixture: London City Lionesses vs Aston Villa W
  • Kickoff: 2026-05-16 16:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): London City Lionesses 1.45 — Aston Villa W 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 49.4% · Implied: 43.9% · Probability edge: +5.5 pts · Est. EV: +8.7%
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (10.6%)

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.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: 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 22 18 1 3 55
2 Arsenal W 22 15 6 1 51
3 Chelsea W 22 15 4 3 49
4 Manchester United W 22 11 7 4 40
5 Tottenham Hotspur W 22 11 3 8 36
6 London City Lionesses 22 8 3 11 27
7 Brighton W 22 7 5 10 26
8 Everton W 22 7 2 13 23
9 Aston Villa W 22 5 5 12 20
10 West Ham W 22 5 4 13 19
11 Liverpool W 22 4 5 13 17
12 Leicester City WFC 22 2 3 17 9
# TEAM MP GS GC +/- PTS
1 Manchester City W 22 62 19 +43 55
2 Arsenal W 22 53 14 +39 51
3 Chelsea W 22 44 20 +24 49
4 Manchester United W 22 38 22 +16 40
5 Tottenham Hotspur W 22 35 38 -3 36
6 London City Lionesses 22 28 35 -7 27
7 Aston Villa W 22 28 48 -20 20
8 Brighton W 22 27 28 -1 26
9 Everton W 22 25 37 -12 23
10 Liverpool W 22 21 34 -13 17
11 West Ham W 22 20 45 -25 19
12 Leicester City WFC 22 11 52 -41 9
# TEAM MP xG xGC +/- PTS
1 Arsenal W 22 1.2 0.2 +1.0 51
2 Everton W 22 0.2 1.2 -1.0 23
3 Manchester City W 22 — — — 55
4 Chelsea W 22 — — — 49
5 Manchester United W 22 — — — 40
6 Tottenham Hotspur W 22 — — — 36
7 London City Lionesses 22 — — — 27
8 Brighton W 22 — — — 26
9 Aston Villa W 22 — — — 20
10 West Ham W 22 — — — 19
11 Liverpool W 22 — — — 17
12 Leicester City WFC 22 — — — 9