Vinberg vs Tenhult: result 3-0 and analysis
Division 2 - Västra GötalandRegular Season - 5Kick-off on May 6, 2017 at 12:00 PM (UTC)Vinåvallen, Vinberg
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What was the result of Vinberg vs Tenhult?
Vinberg won 3-0 on May 6, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vinberg have 7 wins, 0 draws and 8 defeats; Tenhult have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Ullared(away) | 2-1 | Division 2 - Västra Götaland |
| Apr 22, 2017 | Sävedalen(home) | 1-2 | Division 2 - Västra Götaland |
| Apr 17, 2017 | Varbergs GIF(away) | 2-0 | Division 2 - Västra Götaland |
| Apr 8, 2017 | Hittarp(home) | 1-3 | Division 2 - Västra Götaland |
| Oct 16, 2016 | Eskilsminne(away) | 0-3 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Torslanda(home) | 1-2 | Division 2 - Västra Götaland |
| Apr 22, 2017 | Eskilsminne(away) | 0-5 | Division 2 - Västra Götaland |
| Apr 14, 2017 | Höganäs(home) | 1-1 | Division 2 - Västra Götaland |
| Apr 8, 2017 | Dalstorps(away) | 1-3 | Division 2 - Västra Götaland |
| Oct 16, 2016 | Lindome(away) | 0-3 | Division 2 - Västra Götaland |
What does the head-to-head say?
Across the last 2 meetings: 2 Vinberg win(s), 0 draw(s), 0 Tenhult win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 24, 2016 | Tenhult 0-1 Vinberg | Division 2 - Västra Götaland |
| May 28, 2016 | Vinberg 2-0 Tenhult | Division 2 - Västra Götaland |
How many goals should we expect?
Vinberg score 1.3 and concede 1.4 goals per match over their last 15; Tenhult score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vinberg | 1.3 | 1.4 | 5 | 7/15 | 9/15 |
| Tenhult | 1.5 | 1.7 | 4 | 7/15 | 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