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Rosengard W - Eskilstuna United W 15.08.2026 16:00: score, statistics, forecasts

Finished
0
1
1st half 0:0
2nd half 0:1
15.08.2026 16:00
Damallsvenskan
14 | 2026 | Sweden
Malmö IP
Hosts' position: 13 (-8)
Guests' Position: 5 (+8)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team Owners Guests
Avg. goals per match 3.65 1.71
Avg. corners per match 10.94 12.5
Avg. yellow cards per match 2.9 2.5
Avg. red cards per match 0 0
Rosengard W
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League & referee
We have detailed statistics not only on events, but also on referees and leagues
Damallsvenskan Referee Cecilia Ekwall

LIVE match center

Goals
0% from average (1.4)
0
1
175.44% from average (0.57)
Corner
316.3% from average (4.11)
13
0
0% from average (4.5)
Fouls
45.92% from average (8.71)
4
6
100% from average (6)
68.49% from average (14.6)
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 odds movements

+5%
1.67
1.76
Winner Rosengard W
Bookmaker: Pinnacle
+3%
1.63
1.68
Winner Rosengard W
Bookmaker: Marathonbet
+2%
3.6
3.68
Winner Draw
Bookmaker: 1xbet
Bookmaker
1
X
2
Маржа
bet365
1.7
~
3.8
~
3.8
~
11.46%
Marathonbet
1.68
+3%
3.68
-2%
4.1
-5%
11.09%
Pinnacle
1.76
+5%
3.63
-2%
4.04
-11%
9.12%
1xbet
1.7
-1%
3.68
+2%
4.16
-4%
10.04%
Odds movements and odds

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
Rosengard W Eskilstuna United W
Goals per match average
3.65 1.71
Team goals per match average
1.4 0.57
Opponent goals per match average
2.45 1.14
Corners per match average
10.94 12.5
Team corners per match average
4.11 4.5
Opponent corners per match average
6.83 8
Yellow cards per match average
2.9 2.5

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
13.33
Home team fouls per match average
5.5
Away team fouls per match average
7.83
Average yellow cards per match
2.5
Hosts' yellow cards average per match
2
Away team yellow cards per match average
1
Red cards per match average
0

Interesting facts about the team Rosengard W

General
Rosengard W
Opponents

Interesting facts about the team Eskilstuna United W

General
Eskilstuna United W
Opponents

Brief Overview

Rosengard W - Eskilstuna United W, the match will take place on 15.08.2026. The referee will be Cecilia Ekwall. This match may reveal a lot about the teams' future rivalry. Over the last several years, the teams have not met in a match. The hosts are the favorites for this match. The odds for Rosengard W to win are just 1.71.

This is the LIVE match center Rosengard W - Eskilstuna United W 15.08.2026

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
0% from average (1.4)
0
1
175% from average (0.57)
Possession
153% from average (46.44)
71%
29%
74% from average (39)
Corner
316% from average (4.11)
13
0
0% from average (4.5)
Yellow cards
0% from average (1.43)
0
1
50% from average (2)
44% from average (2.25)
Red cards
- from average (0)
0
0
- from average (0)
- from average (0)
Fouls
46% from average (8.71)
4
6
100% from average (6)
68% from average (14.6)
Shots on goal
0% from average (9.22)
0
1
12% from average (8.67)
Shots on target
0% from average (3.61)
0
1
30% from average (3.33)
Blows past
120% from average (5)
6
2
60% from average (3.33)
Blocked Punches
171% from average (2.93)
5
2
63% from average (3.17)
Shots from the penalty area
209% from average (5.73)
12
5
81% from average (6.17)
Shots from outside the penalty area
73% from average (4.09)
3
1
33% from average (3)
Passes
205% from average (302.69)
620
297
89% from average (333.17)
Successful passes
228% from average (221.46)
504
197
83% from average (238.17)
Passing accuracy
109% from average (74.5)
81%
66%
95% from average (69.83)
Attacks
83% from average (83.89)
70
41
57% from average (71.67)
Dangerous Attacks
167% from average (44.44)
74
26
62% from average (41.83)
Offsides
185% from average (2.71)
5
1
67% from average (1.5)
Saves
21% from average (4.85)
1
4
73% from average (5.5)
Substitutions
0% from average (3.67)
0
0
0% from average (3.5)
Goal kicks
75% from average (10.6)
8
13
101% from average (12.83)
Trying to score
0% from average (10.86)
0
0
0% from average (5.33)
Free Kicks
170% from average (5.29)
9
5
299% from average (1.67)
Outs
122% from average (29.57)
36
26
119% from average (21.83)
Playing Safely with a Ball
0% from average (80.67)
0
0
0% from average (70.33)

Match Progress

Rosengard W Eskilstuna United W

Match Progress

The match has begun - the first half is underway
0
:
0
The match has continued - the second half is underway
0
:
0
Substitution
67’
Linnea Prambrant
Viivi Ollonqvist
Substitution
67’
Anna Felicitas Katharina Sutter
Heida Vidarsdóttir
Yellow Card
71’
E. Schampi
Substitution
72’
M. Johansson
Ran Iwai
Substitution
72’
Bryleeh Flo Henry
Cecily Wellesley-Smith
Substitution
72’
J. Agbor Tataw Cronquist
Ria Noora Minerva Öling
Substitution
79’
Felicia Rogic
Elizabeth Mclaughlin Rappole
Goal
81’
Bella Sember
0
:
1
Substitution
88’
Molly Wiklander
R. Åbrink
Substitution
89’
Isabel Gomez
Stella Angelica Malmros
Match finished
0
:
1

Starting lineups

Player
1
Moa Edrud
~
~
~
~
2
Klara Svensson-Senelius
~
~
~
+2
25
Julie Mathiasen
~
~
~
+1
44
J. Agbor Tataw Cronquist
~
~
~
+2
11
M. Johansson
~
~
~
+3
7
T. Sørbo
~
~
~
+3
45
T. Björklund
~
~
~
+5
26
Bryleeh Flo Henry
~
~
~
+3
10
R. Siemsen
~
~
~
+4
24
Anam Imo
~
~
~
+3
20
Isabel Gomez
~
~
~
+3
Player
35
Monica Wilhelm
~
~
~
+1
7
Gabi Rennie
~
~
~
~
16
Rylie Rae Combs
~
~
~
~
14
Sheila van den Bulk
~
~
~
~
17
E. Schampi
~
1
~
+1
19
Anna Felicitas Katharina Sutter
~
~
~
+3
9
Felicia Rogic
~
~
~
+2
27
Beatrice Gärds
~
~
~
+1
18
Bella Sember
~
~
1
+5
29
Linnea Prambrant
~
~
~
+2
13
Molly Wiklander
~
~
~
+3

Substitutions

Player
3
Ran Iwai
~
~
~
~
4
E. Pennsäter
~
~
~
~
6
Ria Noora Minerva Öling
~
~
~
+2
15
Cecily Wellesley-Smith
~
~
~
~
21
Stella Angelica Malmros
~
~
~
+1
40
Sara Sulaiman
~
~
~
~
41
Saga Kristell
~
~
~
~
43
S. Andersson
~
~
~
~
49
A. Enehov
~
~
~
~
Player
1
A. Blom
~
~
~
~
2
Kajsa Linnea Ekström
~
~
~
~
3
Ida Linnea Kristina Sundqvist Westerberg
~
~
~
~
11
Viivi Ollonqvist
~
~
~
+4
20
R. Åbrink
~
~
~
~
21
Heida Vidarsdóttir
~
~
~
~
25
Elizabeth Mclaughlin Rappole
~
~
~
+1

These are the odds for the match Rosengard W - Eskilstuna United W 15.08.2026

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These are detailed team statistics

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These are the referee's detailed match statistics Rosengard W - Eskilstuna United W 15.08.2026

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 UNION STAT. 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

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These are detailed statistics of head-to-head meetings Rosengard W and Eskilstuna United W before the match 15.08.2026

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 Rosengard W - Eskilstuna United W 15.08.2026

This tool uses the entered probability to show which trend works at that probability for teams, referees, and the league. Learn more about how this tool works