Enskede vs Värmdö: result 2-1 and analysis
Division 2 - Södra SvealandRegular Season - 5Kick-off on May 5, 2018 at 12:00 PM (UTC)Enskede IP 1, Stockholm
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What was the result of Enskede vs Värmdö?
Enskede won 2-1 on May 5, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Enskede have 5 wins, 3 draws and 7 defeats; Värmdö have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2018 | Aspudden-Tellus(away) | 1-1 | Division 2 - Södra Svealand |
| Apr 21, 2018 | Nora(home) | 1-0 | Division 2 - Södra Svealand |
| Apr 14, 2018 | Värmbols(away) | 0-0 | Division 2 - Södra Svealand |
| Apr 7, 2018 | Motala(home) | 3-0 | Division 2 - Södra Svealand |
| Nov 4, 2017 | Arameiska / Syrianska(home) | 3-2 | Ettan - Norra |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2018 | Eskilstuna City(home) | 1-1 | Division 2 - Södra Svealand |
| Apr 22, 2018 | Sleipner(away) | 3-2 | Division 2 - Södra Svealand |
| Apr 14, 2018 | AFK Linköping(home) | 0-0 | Division 2 - Södra Svealand |
| Apr 7, 2018 | Haninge(away) | 0-1 | Division 2 - Södra Svealand |
| Oct 14, 2017 | Linköping City(home) | 0-2 | Division 2 - Södra Svealand |
How many goals should we expect?
Enskede score 1.3 and concede 2.2 goals per match over their last 15; Värmdö score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Enskede | 1.3 | 2.2 | 5 | 9/15 | 9/15 |
| Värmdö | 1.1 | 1.9 | 1 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Enskede | 26 | 11 | 5 | 10 | 42 | 41 | 38 |
A question about Enskede vs Värmdö?
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