Tord vs Sävedalen: result 1-2 and analysis
Division 2 - Västra GötalandVästra Götaland - 12Kick-off on June 17, 2023 at 02:00 PM (UTC)Rosenlunds IP, Jönköping
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What was the result of Tord vs Sävedalen?
Sävedalen won 1-2 on June 17, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tord have 7 wins, 1 draws and 7 defeats; Sävedalen have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2023 | Nässjö(away) | 3-2 | Division 2 - Västra Götaland |
| Jun 4, 2023 | Lindome(home) | 4-1 | Division 2 - Västra Götaland |
| May 27, 2023 | Västra Frölunda(away) | 1-3 | Division 2 - Västra Götaland |
| May 20, 2023 | Qviding FIF(home) | 4-1 | Division 2 - Västra Götaland |
| May 13, 2023 | Astrio(away) | 1-2 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2023 | Tölö(home) | 4-1 | Division 2 - Västra Götaland |
| Jun 1, 2023 | Varbergs GIF(away) | 1-1 | Division 2 - Västra Götaland |
| May 28, 2023 | Hittarp(home) | 4-4 | Division 2 - Västra Götaland |
| May 19, 2023 | Onsala(away) | 0-1 | Division 2 - Västra Götaland |
| May 14, 2023 | Laholm(home) | 2-0 | Division 2 - Västra Götaland |
What does the head-to-head say?
Across the last 2 meetings: 1 Tord win(s), 0 draw(s), 1 Sävedalen win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 24, 2021 | Sävedalen 2-3 Tord | Division 2 - Västra Götaland |
| Jun 13, 2021 | Tord 3-4 Sävedalen | Division 2 - Västra Götaland |
How many goals should we expect?
Tord score 1.8 and concede 2.0 goals per match over their last 15; Sävedalen score 1.8 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tord | 1.8 | 2.0 | 5 | 8/15 | 12/15 |
| Sävedalen | 1.8 | 1.6 | 4 | 6/15 | 7/15 |
Over the last 15 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