Frauen Bundesliga
11/02/2026 • 17:00
Finished
Ernst Abbe Sportfeld
S. Menzel
Home scorers
- 84' L. Gora
Away scorers
- 19' J. Damnjanovic
- 26' J. Damnjanovic
- 39' M. Tanikawa
- 51' G. Stanway
- 60' P. Harder
- 88' E. Imade
Match Timeline
19 events
Key Moments
-
19'Bayern Munich WGoalJ. Damnjanovic
-
26'Bayern Munich WGoalJ. Damnjanovic
-
39'Bayern Munich WGoalM. Tanikawa
-
51'Bayern Munich WGoalG. Stanway
-
60'Bayern Munich WGoalP. Harder
-
84'Carl Zeiss Jena WGoalL. Gora
-
88'Bayern Munich WGoalE. Imade
Full timeline Show Hide
19'
Bayern Munich W
Goal
by J. Damnjanovic
26'
Bayern Munich W
Goal
by J. Damnjanovic
39'
Bayern Munich W
Goal
by M. Tanikawa
43'
Carl Zeiss Jena W
Yellow Card
by M. Reuter
46'
Bayern Munich W
Substitution
by L. Dallmann
46'
Carl Zeiss Jena W
Substitution
by G. Mummert
46'
Carl Zeiss Jena W
Substitution
by H. Borner
51'
Bayern Munich W
Goal
by G. Stanway
58'
Carl Zeiss Jena W
Substitution
by M. Reuter
58'
Carl Zeiss Jena W
Substitution
by E. Muhlemann
60'
Bayern Munich W
Goal
by P. Harder
60'
Bayern Munich W
Substitution
by J. Damnjanovic
60'
Bayern Munich W
Substitution
by C. Simon
60'
Bayern Munich W
Substitution
by P. Harder
75'
Bayern Munich W
Substitution
by F. Kett
79'
Carl Zeiss Jena W
Substitution
by N. Gentile
84'
Carl Zeiss Jena W
Goal
by L. Gora
88'
Bayern Munich W
Goal
by E. Imade
90'
Carl Zeiss Jena W
Yellow Card
by R. Tietz
Head to Head Record
0
Carl Zeiss Jena W wins
1
Draws
6
Bayern Munich W wins
7 matches
22 total goals
Recent H2H Form
Carl Zeiss Jena W
L
D
L
L
L
Bayern Munich W
W
D
W
W
W
Recent H2H Meetings
🏆
Competition Stage
Round of 16
AI Match Predictions
Prediction Reliability
31%
Most Likely Scores
0-1
22.6%
0-2
16.3%
0-0
15.7%
1-1
9.3%
Both Teams To Score
YES
26%
NO
74%
Likely: Clean sheet
Over/Under Goals
Over 2.5
2.5 Goals
Under 2.5
28%
72%
Over 28%
Under 72%
Over 1.5
1.5 Goals
Under 1.5
55%
45%
Over 55%
Under 45%
Over 3.5
3.5 Goals
Under 3.5
88%
Over 12%
Under 88%
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.