FA WSL
01/02/2026 • 14:30
Finished
Etihad Stadium
Home scorers
- 13' Kerolin
- 36' K. Shaw
- 49' Kerolin
- 54' Kerolin
- 72' V. Miedema
Away scorers
- 68' A. Thompson
Match timeline
16 eventsKey moments
-
13'
Manchester City WGoalby Kerolin
-
36'
Manchester City WGoalby K. Shaw
-
49'
Manchester City WGoalby Kerolin
-
54'
Manchester City WGoalby Kerolin
-
68'
Chelsea WGoalby A. Thompson
-
72'
Manchester City WGoalby V. Miedema
Full timeline Show Hide
13'
Manchester City W
Goal
by Kerolin
36'
Manchester City W
Goal
by K. Shaw
49'
Manchester City W
Goal
by Kerolin
50'
Chelsea W
Substitution
by V. Buurman
50'
Chelsea W
Substitution
by E. Cuthbert
54'
Manchester City W
Goal
by Kerolin
63'
Manchester City W
Substitution
by Kerolin
64'
Manchester City W
Substitution
by L. Blindkilde
64'
Chelsea W
Substitution
by L. James
68'
Chelsea W
Goal
by A. Thompson
72'
Manchester City W
Goal
by V. Miedema
73'
Chelsea W
Substitution
by K. Walsh
75'
Manchester City W
Substitution
by K. Shaw
75'
Manchester City W
Substitution
by V. Miedema
90'
Manchester City W
Substitution
by A. Fujino
90'
Manchester City W
Substitution
by A. Greenwood
📅
Competition Stage
Regular Season - 14
Standings
1
Manchester City W
36
Manchester City W
W
W
W
2
Chelsea W
27
Chelsea W
W
L
D
3
Arsenal W
26
Arsenal W
W
W
D
4
Manchester United W
25
Manchester United W
D
W
L
5
Tottenham Hotspur W
23
Tottenham Hotspur W
D
W
D
6
Brighton W
17
Brighton W
L
W
W
7
Aston Villa W
16
Aston Villa W
L
W
L
8
London City Lionesses
16
London City Lionesses
L
L
W
9
Leicester City WFC
9
Leicester City WFC
W
L
L
10
Everton W
8
Everton W
L
W
L
11
West Ham W
8
West Ham W
D
L
W
12
Liverpool W
7
Liverpool W
D
L
L
AI Match Predictions
Prediction Reliability
40%
Most Likely Scores
home_4_plus
31.8%
3-1
7.7%
2-1
7.7%
3-2
5.9%
Both Teams To Score
YES
74%
NO
26%
Likely: Both teams score
Over/Under Goals
Over 2.5
2.5 Goals
Under 2.5
83%
17%
Over 83%
Under 17%
Over 1.5
1.5 Goals
Under 1.5
94%
Over 94%
Under 6%
Over 3.5
3.5 Goals
Under 3.5
65%
35%
Over 65%
Under 35%
ℹ️ Predictions are generated using Poisson distribution models based on recent team form (home/away splits), expected goals, and historical performance. Confidence scores reflect data quality and pattern clarity.