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San Diego Wave W - Gotham FC W 05.07.2026 03:45: score, statistics, forecasts

Completed
2
0
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1 half 1:0
2 half 1:0
05.07.2026 03:45
NWSL
2026 | USA
Snapdragon Stadium
Hosts' position: 1 (+5)
Guests' Position: 6 (-5)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team Owners Guests
Avg. goals per match 3 1.5
Avg. angles per match 6 6.5
Avg. yellow cards per match 0 1
Avg. KK per match 0 0
Match prediction value
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Trend Search
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League & referee
We have detailed statistics not only on events, but also on referees and championships
NWSL Referee Jaclyn Metz

LIVE match center

Goals
100% from average (2)
2
0
0% from average (1.5)
Corner
0% from average (3)
0
6
171.43% from average (3.5)
Fouls
58.33% from average (12)
7
7
73.68% from average (9.5)
55.45% from average (25.25)
In the Live Center, we publish team match statistics, lineups, substitutions, and player stats. The information available depends on the specific championship coverage
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Top loads

+9%
2.3
2.51
Winner Gotham FC W
Office: Marathonbet
+5%
2.69
2.83
Winner San Diego Wave W
Office: 1xbet
+4%
3.2
3.32
Winner Draw
Office: Pinnacle
+2%
3.2
3.25
Winner Draw
Office: bet365
+1%
2.52
2.54
Winner Gotham FC W
Office: Pinnacle
+1%
2.3
2.33
Winner Gotham FC W
Office: 1xbet
Office
1
X
2
bet365
2.45
-2%
3.25
+2%
2.45
~
Marathonbet
2.55
-5%
3.1
-5%
2.51
+9%
Pinnacle
2.56
-2%
3.32
+4%
2.54
+1%
1xbet
2.83
+5%
3.14
-4%
2.33
+1%
Loads and Coefficients

Team metrics

We try to show statistics for the last 20 matches, if that's what we have in our database. Also, when showing statistics for corners, shots, offsides, fouls, attacks, and passes, we exclude matches with zero results for these parameters from the calculations to ensure a more accurate picture, as these stats are not recorded for all leagues
Team
San Diego Wave W Gotham FC W
Goals per match average
3 1.5
Team goals per match average
2 1.5
Opponent goals per match average
1 0
Corners per match average
6 6.5
Team corners per match average
3 3.5
Opponent corners per match average
3 3
Yellow cards per match average
0 1

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
20
Home team fouls per match average
9.5
Away team fouls per match average
10.5
Average yellow cards per match
1
Hosts' yellow cards average per match
1
Away team yellow cards per match average
0
Red cards per match average
0

Interesting facts about the team San Diego Wave W

General
San Diego Wave W
Opponents

Interesting facts about the team Gotham FC W

General
Gotham FC W
Opponents

Brief Overview

San Diego Wave W - Gotham FC W, the match will take place on 05.07.2026. This match will be officiated by Jaclyn Metz. This match is doubly interesting, as the teams have never played each other before. За поледние несколько лет команды еще ни разу не сходились в поединке. Judging by the odds of 2.6 for a home win, the away side still has a better chance of winning.

This is the LIVE match center San Diego Wave W - Gotham FC W 05.07.2026

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
100% from average (2)
2
0
0% from average (1.5)
Possession
86% from average (56)
48%
52%
90% from average (57.5)
Corner
0% from average (3)
0
6
171% from average (3.5)
Yellow cards
50% from average (2)
1
1
100% from average (1)
33% from average (6)
Red cards
- from average (0)
0
0
- from average (0)
- from average (0)
Fouls
58% from average (12)
7
7
74% from average (9.5)
55% from average (25.25)
Shots on goal
88% from average (17)
15
15
115% from average (13)
Shots on target
114% from average (7)
8
4
73% from average (5.5)
Blows past
60% from average (10)
6
5
91% from average (5.5)
Blocked Punches
120% from average (5)
6
1
18% from average (5.5)
Shots from the penalty area
62% from average (13)
8
8
62% from average (13)
Shots from outside the penalty area
175% from average (4)
7
7
350% from average (2)
Passes
89% from average (524)
466
496
103% from average (483)
Successful passes
86% from average (451)
387
398
88% from average (453)
Passing accuracy
97% from average (86)
83%
80%
101% from average (79.5)
Attacks
50% from average (142)
71
83
73% from average (113)
Dangerous Attacks
33% from average (135)
44
47
74% from average (63.5)
Offsides
17% from average (6)
1
1
100% from average (1)
Saves
133% from average (3)
4
6
200% from average (3)
Substitutions
0% from average (5)
0
0
0% from average (4)
Goal kicks
160% from average (5)
8
8
800% from average (1)
Trying to score
- from average (0)
0
0
0% from average (6)
Free Kicks
54% from average (13)
7
7
67% from average (10.5)
Outs
47% from average (34)
16
24
94% from average (25.5)
Playing Safely with a Ball
- from average (0)
0
0
0% from average (96)

xG Metrics

Expected goals ( xG )
0
0
Open Play xG
0
0
Set Play xG
0
0
xG per 90
0
0
Penalty xG
0
0
Headed xG
0
0
Face-off xG
0
0
Missed xG
0
0
Defensive Action xG
0
0
xG Ratio
0
0
Opponent xG
0
0

Pressure Index

Match Progress

The match has begun - the first half is underway
0
:
0
Goal
45’
Melanie Magali Barcenas
1
:
0
The match has continued - the second half is underway
1
:
0
Substitution
61’
Gia Cymone Corley
Lia Eugenia Godfrey
Substitution
61’
Gabrielle Jordão Portilho
Tatum Milan Wynalda
Yellow Card
62’
Emily Ann Sonnett
Substitution
62’
Jessica Leigh Carter
Margaret Melinda Williams-Purce
Substitution
69’
Amelia Donna Van Zanten
Trinity Zion Armstrong
Substitution
69’
Melanie Magali Barcenas
Laurina Monique Fazer
Yellow Card
72’
Kenza Dali
Substitution
77’
Jaedyn Reese Shaw
Bruna Santos Nhaia
Substitution
77’
Esther González Rodríguez
Miranda Alexis Freeman
Substitution
77’
Savannah Elizabeth McCaskill
Sarah Caitlin Schupansky
Substitution
82’
Ludmila da Silva
Trinity Paula Byars
Goal
90’+3’
Trinity Paula Byars
2
:
0
Substitution
90’+5’
Jordynn Araya Dudley
Khyah Lynn Harper
Match Completed
2
:
0

Starting lineups

Player
1
Luisa Fernanda Agudelo Morelo
~
~
~
~
16
Amelia Donna Van Zanten
~
~
~
~
2
Kennedy Megan Wesley
~
~
~
+1
14
Kristen Claire McNabb
~
~
~
+1
75
Perle Morroni
~
~
~
+1
11
Gia Cymone Corley
~
~
~
+4
10
Kenza Dali
~
1
~
+2
8
Kimmi Ascanio
~
~
~
+1
7
Melanie Magali Barcenas
~
~
1
+4
17
Ludmila da Silva
~
~
~
+4
81
Gabrielle Jordão Portilho
~
~
~
+5
Player
30
Ann-Katrin Berger
~
~
~
~
27
Jessica Leigh Carter
~
~
~
+2
6
Emily Ann Sonnett
~
1
~
+1
15
Tierna Lillis Davidson
~
~
~
~
18
Guro Reiten
~
~
~
+2
7
Jaelin Marie Howell
~
~
~
+2
13
Savannah Elizabeth McCaskill
~
~
~
+3
2
Jordynn Araya Dudley
~
~
~
+5
16
Rosemary Kathleen Lavelle
~
~
~
+4
10
Jaedyn Reese Shaw
~
~
~
+4
9
Esther González Rodríguez
~
~
~
+4

Substitutions

Player
3
Trinity Zion Armstrong
~
~
~
+1
9
Adriana Kristina Leon
~
~
~
~
15
Trinity Paula Byars
~
~
~
+3
18
Laurina Monique Fazer
~
~
~
~
19
Tatum Milan Wynalda
~
~
~
~
22
Lia Eugenia Godfrey
~
~
~
+1
23
Nya Layson Harrison
~
~
~
~
28
Jordan Michelle Fusco
~
~
~
~
31
Dijana Haračić
~
~
~
~
Player
1
Shelby Ann Hogan
~
~
~
~
3
Bruna Santos Nhaia
~
~
~
+1
11
Sarah Caitlin Schupansky
~
~
~
+2
14
Talia Sommer
~
~
~
~
21
Sofia Gabriela Cook
~
~
~
~
22
Miranda Alexis Freeman
~
~
~
~
23
Margaret Melinda Williams-Purce
~
~
~
~
24
Andrea Demoor Kitahata
~
~
~
~
34
Khyah Lynn Harper
~
~
~
~

These are the odds for the match San Diego Wave W - Gotham FC W 05.07.2026

Find the best odds and evaluate the dynamics of betting loads. We offer pre-match odds. We show the top betting loads first, and then coefficients

These are detailed team statistics

We offer team statistics for 8 indicators. Fill in the filters below to see a list of matches and summary data for home and away teams

These are the referee's detailed match statistics San Diego Wave W - Gotham FC W 05.07.2026

We offer referee statistics on 3 indicators. Fill in the filters below to see the match list and summary data

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

ML predictions are an exclusive and unique feature of 4SCORE. Our servers run special mathematical algorithms that calculate the strength of teams and perform analysis based on pseudo-random event prediction algorithms. We do not accept 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!

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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 Gotham FC W before the match 05.07.2026

We offer team statistics for 8 indicators. Fill in the filters below to see the match list and summary data

This tool will help you find the right trend for a match San Diego Wave W - Gotham FC W 05.07.2026

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