Lidköping vs Uddevalla: result 2-2 and analysis
Division 2 - Norra GötalandRegular Season - 9Kick-off on May 30, 2016 at 05:00 PM (UTC)Framnäs IP, Lidköping
Full time
What was the result of Lidköping vs Uddevalla?
Lidköping and Uddevalla drew 2-2 on May 30, 2016.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Lidköping have 4 wins, 0 draws and 4 defeats; Uddevalla have 4, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Örebro Syrianska(away) | 4-2 | Division 2 - Norra Götaland |
| May 14, 2016 | Skoftebyn(home) | 4-1 | Division 2 - Norra Götaland |
| May 8, 2016 | Stenungsund(away) | 1-2 | Division 2 - Norra Götaland |
| May 4, 2016 | Karlstad(home) | 1-3 | Division 2 - Norra Götaland |
| Apr 30, 2016 | Kortedala(away) | 1-2 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Rynninge(away) | 2-0 | Division 2 - Norra Götaland |
| May 14, 2016 | Örebro Syrianska(home) | 3-2 | Division 2 - Norra Götaland |
| May 10, 2016 | Skoftebyn(away) | 2-2 | Division 2 - Norra Götaland |
| May 4, 2016 | Stenungsund(home) | 4-0 | Division 2 - Norra Götaland |
| Apr 30, 2016 | Karlstad(away) | 1-4 | Division 2 - Norra Götaland |
How many goals should we expect?
Lidköping score 2.0 and concede 1.4 goals per match over their last 8; Uddevalla score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lidköping | 2.0 | 1.4 | 2 | 5/8 | 6/8 |
| Uddevalla | 1.9 | 1.5 | 3 | 3/8 | 6/8 |
Over the last 8 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 Lidköping vs Uddevalla?
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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