Tenhult vs Assyriska Turabdin: result 1-3 and analysis
Division 2 - Västra GötalandRegular Season - 6Kick-off on May 12, 2017 at 05:00 PM (UTC)Kabevallen, Tenhult
Full time
What was the result of Tenhult vs Assyriska Turabdin?
Assyriska Turabdin won 1-3 on May 12, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tenhult have 5 wins, 1 draw and 9 defeats; Assyriska Turabdin have 0, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Vinberg(away) | 0-3 | Division 2 - Västra Götaland |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Ullared(home) | 0-1 | Division 2 - Västra Götaland |
| Apr 29, 2017 | Sävedalen(away) | 0-4 | Division 2 - Västra Götaland |
| Apr 22, 2017 | Varbergs GIF(home) | 2-2 | Division 2 - Västra Götaland |
| Apr 15, 2017 | Hittarp(away) | 0-4 | Division 2 - Västra Götaland |
| Apr 8, 2017 | Tvååker(home) | 0-3 | Division 2 - Västra Götaland |
How many goals should we expect?
Tenhult score 1.3 and concede 1.9 goals per match over their last 15; Assyriska Turabdin score 0.4 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tenhult | 1.3 | 1.9 | 3 | 7/15 | 10/15 |
| Assyriska Turabdin | 0.4 | 2.8 | 0 | 1/5 | 4/5 |
Over the last 15 matches in all competitions.
A question about Tenhult vs Assyriska Turabdin?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy