IFK Tidaholm vs Vårgårda: result 3-1 and analysis
Division 2 - Norra GötalandRegular Season - 15Kick-off on July 3, 2019 at 05:30 PM (UTC)Tidavallen 1, Tidaholm
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What was the result of IFK Tidaholm vs Vårgårda?
IFK Tidaholm won 3-1 on July 3, 2019.
What is the recent form of both teams?
Over their last 14 matches in all competitions, IFK Tidaholm have 4 wins, 4 draws and 6 defeats; Vårgårda have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 28, 2019 | Vänersborgs IF(away) | 0-3 | Division 2 - Norra Götaland |
| Jun 19, 2019 | Stenungsund(home) | 0-2 | Division 2 - Norra Götaland |
| Jun 13, 2019 | Lidköping(away) | 1-2 | Division 2 - Norra Götaland |
| Jun 8, 2019 | Nordvärmland(home) | 1-4 | Division 2 - Norra Götaland |
| Jun 1, 2019 | Alamal Atbara(away) | 0-0 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 29, 2019 | Sävedalen(home) | 1-2 | Division 2 - Norra Götaland |
| Jun 25, 2019 | Vänersborgs FK(away) | 1-3 | Division 2 - Norra Götaland |
| Jun 19, 2019 | Torslanda(away) | 2-2 | Division 2 - Norra Götaland |
| Jun 15, 2019 | Grebbestad(home) | 2-3 | Division 2 - Norra Götaland |
| Jun 8, 2019 | Örebro Syrianska(away) | 0-3 | Division 2 - Norra Götaland |
What does the head-to-head say?
Across the last 1 meetings: 0 IFK Tidaholm win(s), 1 draw(s), 0 Vårgårda win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 6, 2019 | Vårgårda 0-0 IFK Tidaholm | Division 2 - Norra Götaland |
Last archived meeting: Vårgårda vs IFK Tidaholm on Apr 6, 2019
How many goals should we expect?
IFK Tidaholm score 0.9 and concede 1.6 goals per match over their last 14; Vårgårda score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IFK Tidaholm | 0.9 | 1.6 | 5 | 7/14 | 7/14 |
| Vårgårda | 1.5 | 1.7 | 4 | 10/15 | 11/15 |
Over the last 14 matches in all competitions.
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