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San Diego Wave W - Kansas City W 13.04.2025 05:00: score, statistics, forecasts

San Diego Wave W San Diego Wave W
Position: 6 (-5)
L
W
D
W
L
Finished
0
2
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  'name' => 'Finished',
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  'finished_successful' => 1,
  'background' => 'rgb(139 142 149)',
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  'display_text' => 'Finished',
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1st half :
2nd half :
13.04.2025 05:00
Kansas City W Kansas City W
Position: 1 (+5)
W
L
W
W
W
NWSL Women
Regular Season - 4 | 2025 | USA
Meeting Statistics
Average figures for head-to-head meetings
Metric Home Away
Avg. goals per match 2.8 2.85
Avg. corners per match 10.45 8.07
Avg. yellow cards per match 3.33 2.67
Avg. red cards per match 0 0
Key trends
Brief Overview
San Diego Wave W - Kansas City W, match from 13.04.2025. The referee will be J. Griggs. So far, head-to-head meetings between the clubs could only be observed within a single league. The teams have already faced each other more than once in the seasons 2023, 2024, 2025, 2026.

Match sections

This is the LIVE match center San Diego Wave W - Kansas City W 13.04.2025

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
0% from average (1.35)
0
2
95% from average (2.1)
Possession
111% from average (56.64)
63%
37%
82% from average (44.93)
Corners
99% from average (6.09)
6
1
27% from average (3.64)
Yellow cards
139% from average (1.44)
2
0
0% from average (1.42)
120% from average (1.67)
Red cards
- from average (0)
0
0
- from average (0)
- from average (0)
Fouls
81% from average (9.91)
8
12
123% from average (9.79)
133% from average (15)
Shots on goal
67% from average (13.36)
9
8
59% from average (13.5)
Shots on target
105% from average (3.82)
4
4
92% from average (4.36)
Shots off target
39% from average (5.09)
2
3
52% from average (5.79)
Blocked shots
67% from average (4.45)
3
1
30% from average (3.36)
Shots from inside the box
57% from average (8.73)
5
5
59% from average (8.5)
Shots from outside the box
86% from average (4.64)
4
3
60% from average (5)
Passes
109% from average (449.91)
489
293
78% from average (373.79)
Successful passes
111% from average (366.55)
406
207
71% from average (290.93)
Pass accuracy
102% from average (81.09)
83%
71%
91% from average (77.71)
Attacks
- from average (0)
0
0
- from average (0)
Dangerous attacks
- from average (0)
0
0
- from average (0)
Offsides
125% from average (1.6)
2
0
0% from average (2.07)
Saves
67% from average (3)
2
4
127% from average (3.14)
Substitutions
- from average (0)
0
0
- from average (0)
Goal kicks
- from average (0)
0
0
- from average (0)
Attempts to score
- from average (0)
0
0
- from average (0)
Free kicks
- from average (0)
0
0
- from average (0)
Throw-ins
- from average (0)
0
0
- from average (0)
Safe play with the ball
- from average (0)
0
0
- from average (0)

Match Progress

The match has begun - the first half is underway
0
:
0
Goal
16’
Debinha
0
:
1
Penalty
25’
L. LaBonta
0
:
2
Yellow Card
34’
Savannah McCaskill
Substitution
45’+8’
Bia Zaneratto
M. Cooper
The match has continued - the second half is underway
0
:
2
Yellow Card
48’
Emmanuel Favour
Substitution
68’
M. Barcenas
M. Sanchez
Substitution
69’
A. Leon
C. Okwuchukwu
Substitution
76’
V. DiBernardo
C. Hutton
Substitution
76’
H. Lundkvist
T. Armstrong
Substitution
87’
B. Feist
Debinha
Substitution
89’
Q. McMahon
P. Morroni
Match Completed
0
:
2

Starting lineups

Player
1
~
~
~
+1
75
~
~
~
+2
14
~
~
~
+1
3
~
~
~
+1
20
~
~
~
+2
21
~
1
~
+2
10
~
~
~
+1
7
~
~
~
+1
24
~
1
~
+1
8
~
~
~
+2
12
~
~
~
~
Player
15
~
~
~
~
18
~
~
~
+2
10
~
~
1
+5
17
~
~
~
+1
99
~
~
1
+3
8
~
~
~
~
14
~
~
~
~
6
~
~
~
~
5
~
~
~
~
27
~
~
~
~
23
~
~
~
~

Substitutions

Player
9
~
~
~
+4
11
~
~
~
~
15
~
~
~
~
31
~
~
~
~
6
~
~
~
+2
25
~
~
~
~
34
~
~
~
+3
17
~
~
~
~
28
~
~
~
~
Player
9
~
~
~
+2
4
~
~
~
+1
7
~
~
~
+1
81
~
~
~
~
13
~
~
~
~
16
V. DiBernardo
~
~
~
~
22
~
~
~
~
30
L. Marta
~
~
~
~
19
M. Long
~
~
~
~

These are bet probabilities based on the sample

Choose a sample source to see value odds for key markets
Sample source
Teams Referee Personal Meetings
Select a metric for analysis
Attack Possession and style Discipline Defense
Goals Shots on target Shots on goal Corners
Sample settings
Source: teams · sample 10 events · all seasons and leagues
Seasons and leagues
All available seasons
All available leagues
Number of events
5 10 15 20 50 All
Bet Probabilities by Sample — Goals
Value odds for key markets based on the selected sample — teams.

These are detailed team statistics

We offer team statistics for 9 metrics. Fill in the filters below to see summary data for home and away
Statistics by half
1st half 1
8
2nd half 8
0
Result 9
8
Select a metric for analysis
Attack Possession and style Discipline Defense
Goals Shots on target Shots on goal Corners
Sample settings
Sample: 20 events · all seasons and leagues
Combined for both teams
All available seasons
All available leagues
Number of events
5 10 15 20 50 All
San Diego Wave W
Across all matches Home only Away only
All outcomes Win Loss Draw
Kansas City W
Across all matches Home only Away only
All outcomes Win Loss Draw

These are the referee's detailed match statistics San Diego Wave W - Kansas City W 13.04.2025

We offer referee statistics on 3 indicators. Fill in the filters below to see the summary data
Select a metric for analysis
Fouls Yellow cards Red cards
Sample settings
Sample: 20 events · all seasons and leagues
Seasons and leagues
All available seasons
All available leagues
Number of events
5 10 15 20 50 All

These are machine learning-based predictions (Machine Learning, ML)

ML predictions are an exclusive and unique feature of TheAnalytic. Our servers run special mathematical algorithms that calculate team strength and perform analysis based on pseudo-random event prediction algorithms. We don't take these predictions “somewhere”, we developed the system and implemented it ourselves, exclusively for our website. The algorithm uses machine learning technologies and conventional calculation methods. To help the community understand what we offer, we disclose the methodology in a separate article. Important! The match predictions we publish are not a call for betting and are intended solely for “highlight” You need matches or parameters for independent analysis. The ML system does not replace humans!
Select a market to show match predictions for
Goals total 1x2 goals Corners total 1x2 corners Fouls total Cards total
Sample settings
All outcomes · any probability · any odds
Outcome
All outcomes Total Under Total Over
Probability range
Probability from 60 to 100 Any probability
Odds range
Odds from 1.3 to 6 Any odds
Bookmakers
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Match prediction value calculator

Thinking about your prediction for this match? Check the bookmaker's odds value using the calculator to determine whether a bet is worth making. The calculator will show the statistical probability of a winning bet and compare it to the probability implied by the bookmaker's odds. Learn more about how this tool works and become familiar with the algorithm for calculating the statistical rating.

These are detailed statistics of head-to-head meetings San Diego Wave W and Kansas City W before the match 13.04.2025

We offer team statistics for 9 metrics. Fill in the filters below to see summary data
Select a metric for analysis
Attack Possession and style Discipline Defense
Goals Shots on target Shots on goal Corners
Sample settings
Sample: 20 head-to-head meetings · all seasons and leagues
Seasons and leagues
All available seasons
All available leagues
Number of events
5 10 15 20 50 All

This tool will help you find the right trend for a match San Diego Wave W - Kansas City W 13.04.2025

This tool, based on the entered probability, will show the trend operating within that probability for teams, referees, and championships. Learn more about how this tool works