Gute vs Sollentuna: result 1-2 and analysis
Division 2 - Norra SvealandRegular Season - 10Kick-off on June 4, 2016 at 03:00 PM (UTC)Gutavallen, Gotland
Full time
What was the result of Gute vs Sollentuna?
Sollentuna won 1-2 on June 4, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Gute have 7 wins, 1 draw and 1 defeat; Sollentuna have 6, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 5, 2016 | Västerås IK(away) | 3-0 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2016 | Syrianska IF(home) | 0-1 | Division 2 - Norra Svealand |
| May 21, 2016 | Karlberg(home) | 3-2 | Division 2 - Norra Svealand |
| May 14, 2016 | Franke(away) | 4-0 | Division 2 - Norra Svealand |
| May 8, 2016 | Norrtälje(home) | 0-2 | Division 2 - Norra Svealand |
| May 4, 2016 | Gamla Upsala(away) | 1-0 | Division 2 - Norra Svealand |
How many goals should we expect?
Gute score 2.7 and concede 0.8 goals per match over their last 9; Sollentuna score 2.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gute | 2.7 | 0.8 | 6 | 2/9 | 7/9 |
| Sollentuna | 2.0 | 1.0 | 4 | 3/9 | 5/9 |
Over the last 9 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 Gute vs Sollentuna?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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