Kvarnsveden vs Gute: result 2-1 and analysis
Division 2 - Norra SvealandRegular Season - 12Kick-off on June 19, 2016 at 11:00 AM (UTC)Ljungbergsplanen, Borlänge
Full time
What was the result of Kvarnsveden vs Gute?
Kvarnsveden won 2-1 on June 19, 2016.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Kvarnsveden have 2 wins, 2 draws and 7 defeats; Gute 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 11, 2016 | Sollentuna(away) | 0-2 | Division 2 - Norra Svealand |
| Jun 4, 2016 | Karlberg(home) | 0-0 | Division 2 - Norra Svealand |
| May 28, 2016 | Franke(away) | 1-4 | Division 2 - Norra Svealand |
| May 21, 2016 | Norrtälje(home) | 1-2 | Division 2 - Norra Svealand |
| May 14, 2016 | Gamla Upsala(away) | 0-1 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2016 | Sollentuna(home) | 1-2 | Division 2 - Norra Svealand |
| May 29, 2016 | Karlberg(away) | 0-4 | Division 2 - Norra Svealand |
| May 22, 2016 | Franke(home) | 3-1 | Division 2 - Norra Svealand |
| May 14, 2016 | Norrtälje(away) | 4-0 | Division 2 - Norra Svealand |
| May 8, 2016 | Gamla Upsala(home) | 5-0 | Division 2 - Norra Svealand |
How many goals should we expect?
Kvarnsveden score 0.6 and concede 1.4 goals per match over their last 11; Gute score 2.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kvarnsveden | 0.6 | 1.4 | 2 | 4/11 | 3/11 |
| Gute | 2.5 | 0.9 | 6 | 3/10 | 8/10 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Gute | 25 | 9 | 5 | 11 | 38 | 38 | 32 |
A question about Kvarnsveden vs Gute?
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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