Sävedalen vs Tord: result 2-1 and analysis
Division 2 - Västra GötalandVästra Götaland - 25Kick-off on October 15, 2023 at 11:30 AM (UTC)Vallhamra IP, Sävedalen
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What was the result of Sävedalen vs Tord?
Sävedalen won 2-1 on October 15, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sävedalen have 6 wins, 2 draws and 7 defeats; Tord have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2023 | Astrio(away) | 2-1 | Division 2 - Västra Götaland |
| Sep 30, 2023 | Hittarp(away) | 2-4 | Division 2 - Västra Götaland |
| Sep 24, 2023 | Varbergs GIF(home) | 2-2 | Division 2 - Västra Götaland |
| Sep 16, 2023 | Onsala(home) | 0-2 | Division 2 - Västra Götaland |
| Sep 10, 2023 | Laholm(away) | 1-2 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2023 | Husqvarna(away) | 3-2 | Division 2 - Västra Götaland |
| Oct 1, 2023 | Västra Frölunda(home) | 1-3 | Division 2 - Västra Götaland |
| Sep 23, 2023 | Lindome(away) | 3-4 | Division 2 - Västra Götaland |
| Sep 17, 2023 | Qviding FIF(away) | 1-1 | Division 2 - Västra Götaland |
| Sep 9, 2023 | Astrio(home) | 0-1 | Division 2 - Västra Götaland |
What does the head-to-head say?
Across the last 3 meetings: 2 Sävedalen win(s), 0 draw(s), 1 Tord win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 17, 2023 | Tord 1-2 Sävedalen | Division 2 - Västra Götaland |
| 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?
Sävedalen score 1.7 and concede 1.9 goals per match over their last 15; Tord score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sävedalen | 1.7 | 1.9 | 1 | 13/15 | 13/15 |
| Tord | 1.9 | 1.5 | 2 | 12/15 | 10/15 |
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