TOP Tournaments
Show more

Bayer Leverkusen (Women) - Werder Bremen (Women) 17.05.2026

Bayer Leverkusen (Women) B04

Match details

Werder Bremen (Women) SVW
Bayer Leverkusen (Women) B04

Statistics

Werder Bremen (Women) SVW
2.28
Expected goals (xG) stat-tooltip-icon Expected goals xG - measures the quality of a scoring chance and the probability of it becoming a goal. It's calculated from factors like shot location, angle, distance, assist type, and defensive pressure. Each shot gets a value from 0 to 1; a team's total xG is the sum of all its shots. A penalty is usually worth ~0.79–0.80. Higher xG = better chances, regardless of whether goals were actually scored.
2.1
57 %
Ball possession
43 %
0
Big chances stat-tooltip-icon Big chances - counts clear scoring opportunities where a goal is highly expected. These are situations like one-on-one with the goalkeeper, close-range shots with little defensive pressure, or shots into an open goal.
2
10 Matches

7 - Wins

0 - Draws

3 - Losses

10 Matches

Wins - 3

Draws - 3

Losses - 4

  • 50% 5/10
  • Both team to score
  • 5/10 50%
  • 56%
  • Ball possession
  • 49%
  • 22 2.2
  • Goals scored per match
  • 16 1.6
  • 17.46 1.75
  • xG (Expected Goals) per match
  • 11.66 1.17
  • 8 0.8
  • Goals conceded per match
  • 15 1.5
  • 7.8 0.78
  • Expected goals conceded (xCG) per match
  • 7.4 0.74
Bayer Leverkusen (Women) B04

H2H Stats

Werder Bremen (Women) SVW
  • 20% 1wins
  • 20% 1draws
  • 60% 3wins

Chat

Be the first to leave a comment

Go to chat

Top Scorers



hostName Bayer Leverkusen (Women)
#
Goals
  • 21 Fudalla V.
    14
  • 19 Bender L.
    5
  • 6 Piljic K.
    5
  • 11 Kogel K.
    4
  • 20 Kramer C.
    4
guestName Werder Bremen (Women)
#
Goals
  • 10 Muhlhaus L.
    17
  • 9 Desic M.
    6
  • 16 Papai E.
    4
  • 23 Sternad M.
    4
  • 18 Hausicke L.
    3

Match facts

The most common result of matches between Bayer Leverkusen and Werder Bremen is 1-1. 3 matches have ended with this result.

During the last 8 meetings with Bayer Leverkusen playing at home, Bayer Leverkusen have won 4 times, there have been 1 draws while Werder Bremen have won 3 times. The goal difference is 17-8 in favour of Bayer Leverkusen.

During the last 16 meetings, Bayer Leverkusen have won 7 times, there have been 3 draws while Werder Bremen have won 6 times. The goal difference is 27-15 in favour of Bayer Leverkusen.

Last season's matches: 6-0 (Bayer Leverkusen at home) and 1-1 (Werder Bremen at home).

More facts

Predictions

As part of the Women Bundesliga (Germany) tournament, the match between teams Bayer Leverkusen (Women) and Werder Bremen (Women) is scheduled. The game will start on 17.05 at 08:00. All sports bettors can follow in-depth Bayer Leverkusen (Women) Werder Bremen (Women) betting tips using the subsequent analysis of teams' statistics and prediction for the match.

3 / 10 of her last matches Bayer Leverkusen (Women) in all competitions ended in defeat

3 / 10 of last matches Bayer Leverkusen (Women) in Women Bundesliga ended in defeat

5 / 10 of the last matches between the teams ended in a victory Bayer Leverkusen (Women)

6 / 10 of last matches in all competitions Werder Bremen (Women) did not lose

7 / 10 of last matches in Women Bundesliga Werder Bremen (Women) did not lose

7 / 10 of last matches Bayer Leverkusen (Women) in all tournaments ended with her victory

Bayer Leverkusen (Women) B04

Standings

Werder Bremen (Women) SVW
# Team GP W D L G GD P
3 26 16 3 7 65:43 22 51
4 26 14 4 8 48:30 18 46
5 26 15 1 10 46:36 10 46
6 26 12 7 7 42:36 6 43
7 26 11 4 11 36:37 -1 37
8 26 10 4 12 44:46 -2 34

Player Statistics

Overview
Shots
Attack
Defending
Goalkeeping
Overview
Player Grade Minutes played Goals xG Assists xA Total shots Passes Yellow cards Red cards
player
Fischer V.
Goalkeeper team
8.1 90 - - - - - 27/45(60%) - -
player
Hausicke L.
Midfielder team
7.8 90 1 1.01 - 0.01 2 21/31(68%) - -
player
Ulbrich M.
Defender team
7.2 90 - - - - - 27/34(79%) - -
player
D'Angelo C.
Defender team
7 90 - 0.07 - 0.18 1 16/30(53%) - -
player
Gutmann S.
Defender team
7 45 - - - - - 14/18(78%) - -
player
Piljic K.
Midfielder team
7 66 - 0.09 - 0.06 2 33/42(79%) - -
player
Petermann L.
Forward team
6.9 29 - 0.1 - 0.03 1 6/9(67%) - -
player
Kogel K.
Midfielder team
6.8 66 - 0.28 - 0.04 3 22/29(76%) 1 -
player
Wirtz J.
Defender team
6.8 76 - - - 0.01 - 24/32(75%) - -
player
Schmidt L.
Defender team
6.8 45 - - - - - 10/14(71%) - -
player
Abt F.
Goalkeeper team
6.7 89 - - - - - 19/21(90%) - -
player
Madl V.
Defender team
6.7 24 - 0.13 - 0.01 2 2/3(67%) - -
player
Wamser C.
Defender team
6.7 90 - 0.41 - 0.2 1 31/43(72%) - -
player
Ernst S.
Midfielder team
6.5 14 - - - 0.08 - 3/4(75%) - -
player
Fudalla V.
Midfielder team
6.1 89 - 0.1 - 0.25 1 12/17(71%) - -
player
Grant R.
Midfielder team
5.9 24 - - - - - 9/11(82%) - -
player
Wenger C.
Defender team
5.9 90 - - - 0.01 - 46/52(88%) - -
player
Ostermeier S.
Defender team
5.8 90 - 0.07 - 0.04 1 51/63(81%) 1 -
player
Arfaoui A.
Midfielder team
- 2 - - - - - 3/4(75%) - -
player
Borggrafe R.
Goalkeeper team
- 1 - - - - - - - -
xG - measures the quality of a scoring chance and the probability of it becoming a goal. It’s calculated from factors like shot location, angle, distance, assist type, and defensive pressure. Each shot gets a value from 0 to 1; a team’s total xG is the sum of all its shots. A penalty is usually worth ~0.79–0.80. Higher xG = better chances, regardless of whether goals were actually scored.
xA - measures the likelihood that a completed pass will become an assist for a goal. It evaluates the quality of the pass based on factors like its placement, trajectory, speed, the receiver’s position, defensive pressure, and the overall attacking context. Each key pass receives a value between 0 and 1; a player’s or team’s total xA is the sum of these values. Higher xA indicates better chance creation, even if the subsequent shot is missed or saved.
Shots
Player Total shots Shots on target xGOT Shots off target Blocked shots Shots header Shots inside the Box Shots outside the Box
player
Kogel K.
Midfielder team
3 - - 1 2 1 2 1
player
Hausicke L.
Midfielder team
2 1 0.8 1 - 2 2 -
player
Madl V.
Defender team
2 1 0.12 1 - - 1 1
player
Piljic K.
Midfielder team
2 1 0.02 - 1 - 1 1
player
D'Angelo C.
Defender team
1 1 0.61 - - - - 1
player
Fudalla V.
Midfielder team
1 - - 1 - - - 1
player
Ostermeier S.
Defender team
1 - - - 1 - 1 -
player
Petermann L.
Forward team
1 1 0.61 1 - 1 1 1
player
Wamser C.
Defender team
1 1 0.35 - - - 1 -
player
Abt F.
Goalkeeper team
- - - - - - - -
player
Arfaoui A.
Midfielder team
- - - - - - - -
player
Borggrafe R.
Goalkeeper team
- - - - - - - -
player
Ernst S.
Midfielder team
- - - - - - - -
player
Fischer V.
Goalkeeper team
- - - - - - - -
player
Grant R.
Midfielder team
- - - - - - - -
player
Gutmann S.
Defender team
- - - - - - - -
player
Schmidt L.
Defender team
- - - - - - - -
player
Ulbrich M.
Defender team
- - - - - - - -
player
Wenger C.
Defender team
- - - - - - - -
player
Wirtz J.
Defender team
- - - - - - - -
xGOT - measures the likelihood that a shot on target results in a goal. Unlike xG (which evaluates the chance before the shot), xGOT assesses execution — shot placement, goalkeeper position, etc. — after the ball is struck. Only shots on target are included, each valued 0–1. A team’s total xGOT is the sum of all its on-target shots.
Attack
Player Touches in the opposition Box Passes Big chances created Big chances missed Assists xA Passes in final third Touches Passes long Crosses Successful dribbles Fouled Offsides
player
Kogel K.
Midfielder team
4 22/29(76%) - - - 0.04 14/18(78%) 49 1/3(33%) - - 1 -
player
Wamser C.
Defender team
3 31/43(72%) - - - 0.2 9/14(64%) 66 4/7(57%) 1/3(33%) 1/1(100%) 2 -
player
Fudalla V.
Midfielder team
2 12/17(71%) - - - 0.25 8/12(67%) 33 - 2/6(33%) - - 1
player
Hausicke L.
Midfielder team
2 21/31(68%) - - - 0.01 3/4(75%) 45 1/5(20%) - - - -
player
Ostermeier S.
Defender team
2 51/63(81%) - - - 0.04 7/12(58%) 70 7/11(64%) - - 1 -
player
Petermann L.
Forward team
2 6/9(67%) - - - 0.03 3/4(75%) 14 - - - 1 -
player
D'Angelo C.
Defender team
1 16/30(53%) - - - 0.18 3/6(50%) 55 2/5(40%) 2/2(100%) - 4 -
player
Ernst S.
Midfielder team
1 3/4(75%) - - - 0.08 3/4(75%) 6 - 1/1(100%) - - -
player
Madl V.
Defender team
1 2/3(67%) - - - 0.01 1/1(100%) 6 - - - - 1
player
Piljic K.
Midfielder team
1 33/42(79%) - - - 0.06 9/17(53%) 53 1/4(25%) - - 1 -
player
Abt F.
Goalkeeper team
- 19/21(90%) - - - - - 27 4/5(80%) - - - -
player
Arfaoui A.
Midfielder team
- 3/4(75%) - - - - 1/2(50%) 6 - - - - -
player
Borggrafe R.
Goalkeeper team
- - - - - - - 1 - - - - -
player
Fischer V.
Goalkeeper team
- 27/45(60%) - - - - - 65 12/28(43%) - - - -
player
Grant R.
Midfielder team
- 9/11(82%) - - - - 2/2(100%) 21 2/2(100%) - - - -
player
Gutmann S.
Defender team
- 14/18(78%) - - - - - 22 2/5(40%) - - - -
player
Schmidt L.
Defender team
- 10/14(71%) - - - - - 21 - - - - -
player
Ulbrich M.
Defender team
- 27/34(79%) - - - - 2/5(40%) 54 3/8(38%) - - - -
player
Wenger C.
Defender team
- 46/52(88%) - - - 0.01 2/5(40%) 59 - - - 2 -
player
Wirtz J.
Defender team
- 24/32(75%) - - - 0.01 2/3(67%) 44 1/4(25%) - - 1 -
xA - measures the likelihood that a completed pass will become an assist for a goal. It evaluates the quality of the pass based on factors like its placement, trajectory, speed, the receiver’s position, defensive pressure, and the overall attacking context. Each key pass receives a value between 0 and 1; a player’s or team’s total xA is the sum of these values. Higher xA indicates better chance creation, even if the subsequent shot is missed or saved.
Defending
Player Duels Aerial duels Ground duels Foules Tackles Interceptions Clearances Error leading to goal Error leading to shot Own goals
player
Hausicke L.
Midfielder team
11 - 5/11(45%) 4 4/5(80%) 1 1 - - -
player
D'Angelo C.
Defender team
9 - 5/9(56%) 1 1/1(100%) 1 5 - - -
player
Wamser C.
Defender team
8 - 6/8(75%) - 3/3(100%) - - - - -
player
Petermann L.
Forward team
7 1/3(33%) 3/4(75%) - 2/2(100%) - - - - -
player
Fudalla V.
Midfielder team
6 - - 1 - 1 - - - -
player
Grant R.
Midfielder team
6 - 2/6(33%) - 1/2(50%) - 1 - - -
player
Piljic K.
Midfielder team
6 - 3/6(50%) - 1/2(50%) - - - - -
player
Wenger C.
Defender team
6 1/1(100%) 3/5(60%) 1 1/1(100%) - 2 - - -
player
Ostermeier S.
Defender team
4 1/1(100%) 2/3(67%) 1 1/1(100%) - 2 - - 1
player
Wirtz J.
Defender team
4 - 4/4(100%) - 3/3(100%) - 1 - - -
player
Gutmann S.
Defender team
3 - 1/1(100%) - 1/1(100%) - 1 - - -
player
Kogel K.
Midfielder team
3 - 2/3(67%) - 1/1(100%) - - - - -
player
Ulbrich M.
Defender team
2 1/1(100%) 1/1(100%) - 1/1(100%) 2 11 - - -
player
Abt F.
Goalkeeper team
- - - - - - - - - -
player
Arfaoui A.
Midfielder team
- - - - - - 1 - - -
player
Borggrafe R.
Goalkeeper team
- - - - - - - - - -
player
Ernst S.
Midfielder team
- - - - - - - - - -
player
Fischer V.
Goalkeeper team
- - - - - - 3 - - -
player
Madl V.
Defender team
- - - - - 1 1 - - -
player
Schmidt L.
Defender team
- - - - - 1 5 - - -
Goalkeeping
Player Goals prevented Goalkeeper saves xGOT faced Goals Conceded Punches Throws Sweeper keeper actions
player
Fischer V.
Goalkeeper team
1.43 7 2.43 1 3 7 -
player
Abt F.
Goalkeeper team
0.31 2 2.31 3 - 3 -
player
Borggrafe R.
Goalkeeper team
- - - - - 1 -
Goals prevented - measures how many goals a goalkeeper saved compared to expectation. It is calculated as the difference between xGOT Faced (the total post-shot expected goals of all on-target shots faced) and the actual number of goals conceded (excluding own goals). A higher positive value indicates the goalkeeper performed above average, preventing more goals than expected from the quality of shots faced. A negative value means more goals were conceded than the shots "deserved.
xGOT faced - total number of goals a goalkeeper would be expected to concede based on the volume and quality of on-target shots faced. Each shot’s quality is assessed using post-shot factors: placement, goalkeeper positioning, shot speed, etc. xGOT Faced for a team equals the opposing team’s total xGOT from shots on target. It serves as the benchmark for calculating Goals Prevented.

About

17.05.2026 at 08:00 Bayer Leverkusen (Women) and Werder Bremen (Women) will play a match as part of the Women Bundesliga. The game will be played at the Ulrich-Haberland-Stadion. Bayer Leverkusen (Women) vs Werder Bremen (Women) score, statistics, and full match live broadcast can be found on fscore.org.uk. All this data is accessible and free for all users without registration.

Match information

Bayer Leverkusen (Women) lineup:
  • : Wamser Carlotta
  • : Piljic Katharina
  • : Zdebel Sofie Lena
  • : Bender Loreen
  • : Kramer Cornelia
  • : Merino Gonzalez Estrella
  • : Kogel Kristin
  • : Abt Friederike
  • : Ostermeier Selina
  • : Wenger Claudia
  • : Fudalla Vanessa

Bayer Leverkusen (Women) last matches info:

  • Bayer Leverkusen (Women) - Werder Bremen (Women) (17 May 2026) Ulrich-Haberland-Stadion 1:3 Women Bundesliga
  • RB Leipzig (Women) - Bayer Leverkusen (Women) (11 May 2026) RB-Training Center Cottaweg 1:3 Women Bundesliga
  • SGS Essen Schonebeck 19/68 (Women) - Bayer Leverkusen (Women) (03 May 2026) Stadion an der Hafenstrasse 0:4 Women Bundesliga
  • Bayer Leverkusen (Women) - Freiburg (Women) (26 Apr 2026) Ulrich-Haberland-Stadion 4:1 Women Bundesliga
  • Hamburger SV (Women) - Bayer Leverkusen (Women) (30 Mar 2026) Wolfgang-Meyer-Sportanlage 1:3 Women Bundesliga

Werder Bremen (Women) lineup:

  • : D'Angelo Chiara Anna
  • : Sternad Maja
  • : Muhlhaus Larissa Michelle
  • : Desic Medina
  • : Gutmann Sarah
  • : Hausicke Lina
  • : Fischer Vanessa
  • : Nemeth Hanna
  • : Ulbrich Michelle
  • : Wirtz Juliane
  • : Weiss Michelle

Werder Bremen (Women) last matches info:

  • Bayer Leverkusen (Women) - Werder Bremen (Women) (17 May 2026) Ulrich-Haberland-Stadion 1:3 Women Bundesliga
  • Werder Bremen (Women) - FF Usv Jena (Women) (10 May 2026) Weserstadion Platz 11 7:0 Women Bundesliga
  • 1 FC Cologne (Women) - Werder Bremen (Women) (02 May 2026) Sudstadion 3:0 Women Bundesliga
  • Werder Bremen (Women) - Bayern Munich (Women) (29 Apr 2026) Weserstadion Platz 11 0:2 Women Bundesliga
  • RB Leipzig (Women) - Werder Bremen (Women) (25 Apr 2026) Red Bull Arena 1:1 Women Bundesliga

Bayer Leverkusen (Women) vs Werder Bremen (Women) score today will be available at the beginning of the match on 17 May 2026. On fscore.org.uk, you will find not only the Bayer Leverkusen (Women) vs Werder Bremen (Women) score but the latest score, livescore, results, and fixtures for future matches.

Top bookmakers
1
gift-icon-green 3000 USD Bonus
Bonus
2
gift-icon-green 100 USD Bonus
Bonus
3
gift-icon-green 250 USD Bonus
Bonus
4
gift-icon-green 750 USD Bonus
Bonus
5
gift-icon-green 250 USD Bonus
Bonus
6
gift-icon-green for $19.99 Bonus
Bonus
7
gift-icon-green for $15.99 Bonus
Bonus

Match Info

Date:
17 May 2026, 08:00
Referee:
Soder Angelika, Germany
Stadium:
Ulrich-Haberland-Stadion, Leverkusen, Germany
Capacity:
3200
Get quick access to sports scores and news.
Install this web app on your device: tap and then "Add to Home Screen "
close