IFK Tidaholm vs Kumla: result 2-3 and analysis
Division 2 - Norra GötalandNorra Götaland - 28Kick-off on October 9, 2021 at 12:00 PM (UTC)Tidavallen 1, Tidaholm
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What was the result of IFK Tidaholm vs Kumla?
Kumla won 2-3 on October 9, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, IFK Tidaholm have 2 wins, 1 draws and 12 defeats; Kumla have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2021 | IFK Skövde(away) | 1-5 | Division 2 - Norra Götaland |
| Sep 25, 2021 | IF Karlstad II(home) | 1-2 | Division 2 - Norra Götaland |
| Sep 18, 2021 | Lidköping(away) | 2-1 | Division 2 - Norra Götaland |
| Sep 11, 2021 | Vänersborgs FK(home) | 2-2 | Division 2 - Norra Götaland |
| Sep 8, 2021 | Yxhult(home) | 0-5 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2021 | IFK Skövde(away) | 1-1 | Division 2 - Norra Götaland |
| Oct 2, 2021 | Oddevold(home) | 1-4 | Division 2 - Norra Götaland |
| Sep 18, 2021 | Stenungsund(home) | 3-1 | Division 2 - Norra Götaland |
| Sep 11, 2021 | Grebbestad(home) | 3-3 | Division 2 - Norra Götaland |
| Sep 7, 2021 | Lidköping(home) | 2-2 | Division 2 - Norra Götaland |
What does the head-to-head say?
Across the last 1 meetings: 0 IFK Tidaholm win(s), 0 draw(s), 1 Kumla win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 5, 2021 | Kumla 2-0 IFK Tidaholm | Division 2 - Norra Götaland |
How many goals should we expect?
IFK Tidaholm score 0.6 and concede 3.5 goals per match over their last 15; Kumla score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IFK Tidaholm | 0.6 | 3.5 | 1 | 6/15 | 12/15 |
| Kumla | 1.5 | 1.6 | 4 | 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