FBK Karlstad vs Kumla: result 4-1 and analysis
Division 2 - Norra GötalandNorra Götaland - 6Kick-off on May 2, 2025 at 04:30 PM (UTC)Örsholmens IP Konstgräs, Karlstad
Full time
What was the result of FBK Karlstad vs Kumla?
FBK Karlstad won 4-1 on May 2, 2025.
Goalscorers
- 6′572449FBK Karlstad
- 39′L. FredrikssonFBK Karlstad
- 51′572463FBK Karlstad
- 72′572407Kumla
- 88′R. FaustiniFBK Karlstad
What is the recent form of both teams?
Over their last 15 matches in all competitions, FBK Karlstad have 6 wins, 3 draws and 6 defeats; Kumla have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2025 | Vänersborgs IF(away) | 1-1 | Division 2 - Norra Götaland |
| Apr 20, 2025 | Motala(away) | 3-4 | Division 2 - Norra Götaland |
| Apr 13, 2025 | Vänersborgs FK(home) | 2-0 | Division 2 - Norra Götaland |
| Apr 5, 2025 | Herrestads(home) | 2-3 | Division 2 - Norra Götaland |
| Mar 30, 2025 | Tord(away) | 2-1 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2025 | Herrestads(home) | 0-3 | Division 2 - Norra Götaland |
| Apr 18, 2025 | Lidköping(away) | 0-1 | Division 2 - Norra Götaland |
| Apr 12, 2025 | Tidaholms GoIF(home) | 1-1 | Division 2 - Norra Götaland |
| Apr 5, 2025 | Ahlafors(home) | 2-4 | Division 2 - Norra Götaland |
| Mar 29, 2025 | Haga(away) | 3-2 | Division 2 - Norra Götaland |
How many goals should we expect?
FBK Karlstad score 2.1 and concede 2.0 goals per match over their last 15; Kumla score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FBK Karlstad | 2.1 | 2.0 | 3 | 12/15 | 11/15 |
| Kumla | 1.5 | 1.7 | 2 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Kumla | 13 | 4 | 5 | 4 | 14 | 14 | 17 |
| 9 | Kumla | 18 | 5 | 5 | 8 | 19 | 30 | 20 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy