Tenhult vs Lindome: result 3-2 and analysis
Division 2 - Västra GötalandRegular Season - 11Kick-off on June 11, 2016 at 12:00 PM (UTC)Kabevallen, Tenhult
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What was the result of Tenhult vs Lindome?
Tenhult won 3-2 on June 11, 2016.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Tenhult have 2 wins, 4 draws and 4 defeats; Lindome have 7, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2016 | Halmia(home) | 2-1 | Division 2 - Västra Götaland |
| May 28, 2016 | Vinberg(away) | 0-2 | Division 2 - Västra Götaland |
| May 20, 2016 | Dalstorps(home) | 0-0 | Division 2 - Västra Götaland |
| May 15, 2016 | Högaborg(away) | 2-2 | Division 2 - Västra Götaland |
| May 7, 2016 | Laholm(home) | 2-0 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2016 | Höganäs(home) | 3-1 | Division 2 - Västra Götaland |
| May 29, 2016 | Halmia(away) | 4-2 | Division 2 - Västra Götaland |
| May 20, 2016 | Torslanda(home) | 2-1 | Division 2 - Västra Götaland |
| May 14, 2016 | Vinberg(away) | 2-3 | Division 2 - Västra Götaland |
| May 8, 2016 | Ullared(home) | 3-2 | Division 2 - Västra Götaland |
How many goals should we expect?
Tenhult score 1.0 and concede 1.4 goals per match over their last 10; Lindome score 2.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tenhult | 1.0 | 1.4 | 2 | 6/10 | 4/10 |
| Lindome | 2.7 | 1.2 | 4 | 6/10 | 8/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Lindome | 25 | 11 | 4 | 10 | 47 | 43 | 37 |
A question about Tenhult vs Lindome?
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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