Kumla vs Forward: result 0-1 and analysis
Division 2 - Norra GötalandNorra Götaland - 29Kick-off on August 4, 2021 at 05:00 PM (UTC)Kumla IP, Kumla
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What was the result of Kumla vs Forward?
Forward won 0-1 on August 4, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kumla have 6 wins, 4 draws and 5 defeats; Forward have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2021 | Gauthiod(home) | 2-0 | Division 2 - Norra Götaland |
| Jul 7, 2021 | Angered BK(home) | 1-3 | Division 2 - Norra Götaland |
| Jul 3, 2021 | Lidköping(away) | 0-0 | Division 2 - Norra Götaland |
| Jun 30, 2021 | Yxhult(away) | 1-0 | Division 2 - Norra Götaland |
| Jun 27, 2021 | Oddevold(away) | 0-3 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2021 | IFK Tidaholm(away) | 2-0 | Division 2 - Norra Götaland |
| Jul 10, 2021 | Grebbestad(home) | 1-0 | Division 2 - Norra Götaland |
| Jul 7, 2021 | Nordvärmland(away) | 3-2 | Division 2 - Norra Götaland |
| Jul 3, 2021 | Oddevold(home) | 1-1 | Division 2 - Norra Götaland |
| Jun 27, 2021 | IF Karlstad II(home) | 4-1 | Division 2 - Norra Götaland |
What does the head-to-head say?
Across the last 2 meetings: 0 Kumla win(s), 0 draw(s), 2 Forward win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 9, 2021 | Forward 3-1 Kumla | Division 2 - Norra Götaland |
| Aug 17, 2020 | Forward 1-0 Kumla | Division 2 - Södra Svealand |
How many goals should we expect?
Kumla score 1.7 and concede 1.5 goals per match over their last 15; Forward score 2.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kumla | 1.7 | 1.5 | 5 | 8/15 | 8/15 |
| Forward | 2.4 | 1.0 | 6 | 8/15 | 9/15 |
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