Forward vs Kumla: result 3-1 and analysis
Division 2 - Norra GötalandNorra Götaland - 13Kick-off on June 9, 2021 at 05:00 PM (UTC)Trängens IP, Örebro
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What was the result of Forward vs Kumla?
Forward won 3-1 on June 9, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Forward have 9 wins, 4 draws and 2 defeats; Kumla have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2021 | IFK Skövde(away) | 1-1 | Division 2 - Norra Götaland |
| Oct 17, 2020 | Trosa-Vagnhärad SK(home) | 5-0 | Division 2 - Södra Svealand |
| Oct 10, 2020 | Rynninge(away) | 1-0 | Division 2 - Södra Svealand |
| Oct 3, 2020 | Huddinge(home) | 2-2 | Division 2 - Södra Svealand |
| Sep 30, 2020 | Akropolis(home) | 0-3 | Svenska Cupen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2021 | IFK Tidaholm(home) | 2-0 | Division 2 - Norra Götaland |
| Oct 17, 2020 | Huddinge(home) | 5-2 | Division 2 - Södra Svealand |
| Oct 11, 2020 | Arameiska / Syrianska(away) | 2-3 | Division 2 - Södra Svealand |
| Oct 3, 2020 | Newroz(home) | 3-3 | Division 2 - Södra Svealand |
| Sep 26, 2020 | Trosa-Vagnhärad SK(home) | 4-1 | Division 2 - Södra Svealand |
What does the head-to-head say?
Across the last 1 meetings: 1 Forward win(s), 0 draw(s), 0 Kumla win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 17, 2020 | Forward 1-0 Kumla | Division 2 - Södra Svealand |
How many goals should we expect?
Forward score 2.0 and concede 1.0 goals per match over their last 15; Kumla score 2.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Forward | 2.0 | 1.0 | 6 | 8/15 | 9/15 |
| Kumla | 2.3 | 1.9 | 3 | 11/15 | 12/15 |
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