Trollhättan vs Lidköping: result 4-1 and analysis
Division 2 - Norra GötalandRegular Season - 8Kick-off on May 24, 2017 at 05:00 PM (UTC)Edsborgs IP, Trollhättan
Full time
What was the result of Trollhättan vs Lidköping?
Trollhättan won 4-1 on May 24, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Trollhättan have 5 wins, 8 draws and 2 defeats; Lidköping have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2017 | Lerum(away) | 3-0 | Division 2 - Norra Götaland |
| May 12, 2017 | Vänersborgs IF(home) | 1-1 | Division 2 - Norra Götaland |
| May 6, 2017 | FBK Karlstad(away) | 3-0 | Division 2 - Norra Götaland |
| May 1, 2017 | Grebbestad(home) | 0-5 | Division 2 - Norra Götaland |
| Apr 24, 2017 | Uddevalla(away) | 4-2 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2017 | Nordvärmland(home) | 5-4 | Division 2 - Norra Götaland |
| May 13, 2017 | Vänersborgs FK(away) | 0-4 | Division 2 - Norra Götaland |
| May 6, 2017 | Karlstad(home) | 0-2 | Division 2 - Norra Götaland |
| Apr 29, 2017 | Gauthiod(away) | 0-4 | Division 2 - Norra Götaland |
| Apr 22, 2017 | Stenungsund(home) | 1-2 | Division 2 - Norra Götaland |
How many goals should we expect?
Trollhättan score 1.9 and concede 1.4 goals per match over their last 15; Lidköping score 1.4 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Trollhättan | 1.9 | 1.4 | 3 | 10/15 | 9/15 |
| Lidköping | 1.4 | 2.1 | 1 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Lidköping | 25 | 8 | 6 | 11 | 32 | 43 | 30 |
A question about Trollhättan vs Lidköping?
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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