Results and statistics of the match Malmo Ff - Vasteras Sk (2 March 2025 16:30)

Match statistics and team analysis

Detailed analysis of the match Malmo Ff - Vasteras Sk (Svenska Cupen).

Championship: Svenska Cupen (Sweden). Championship statistics: average goals per match: 1.27 , average goals conceded: 2.14.

Teams: Malmo Ff vs Vasteras Sk.

Team form: Malmo Ff: 60% , Vasteras Sk: 80%. Team form reflects recent performance and is one of the key factors in our predictions.

Match statistics: Malmo Ff: wins 40% , draws 30% , losses 30%. , Vasteras Sk: wins 30% , draws 60% , losses 10%.

Goals statistics (average in recent matches): Malmo Ff: 2.40 goals scored, 1.20 goals conceded , Vasteras Sk: 3.40 goals scored, 1.00 goals conceded.

This page contains detailed match results and statistics, including goals, cards, corners, possession, shots on target, and other advanced metrics. Use this data to analyze team performance and improve your understanding of football statistics.

2 March 2025 16:30
3 - 0
Finished

Fixtures Malmo Ff

19 April 2026 13:00
Home win (1)
59%
Draw (X)
20%
Away win (2)
21%
Most likely score
2-1 (9%)
Total over 2.5
70%
Total under 2.5
30%
22 April 2026 13:00
Home win (1)
16%
Draw (X)
16%
Away win (2)
68%
Most likely score
1-2 (8%)
Total over 2.5
81%
Total under 2.5
19%
26 April 2026 13:00
Home win (1)
37%
Draw (X)
26%
Away win (2)
37%
Most likely score
1-1 (12%)
Total over 2.5
50%
Total under 2.5
50%

Fixtures Vasteras Sk

19 April 2026 13:00
Home win (1)
50%
Draw (X)
22%
Away win (2)
28%
Most likely score
1-1 (10%)
Total over 2.5
62%
Total under 2.5
38%
22 April 2026 13:00
Home win (1)
3%
Draw (X)
20%
Away win (2)
77%
Most likely score
1-3 (8%)
Total over 2.5
87%
Total under 2.5
13%
26 April 2026 13:00
Home win (1)
15%
Draw (X)
15%
Away win (2)
70%
Most likely score
1-2 (7%)
Total over 2.5
86%
Total under 2.5
14%
Cookie Policy

By continuing to use our site, you agree to the processing of cookies: language and time zone of the operating system and browser. The data is processed to provide correct data.