Kumla vs Sylvia: result 2-1 and analysis
Division 2 - Södra SvealandRegular Season - 4Kick-off on April 29, 2017 at 02:00 PM (UTC)Kumla IP, Kumla
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What was the result of Kumla vs Sylvia?
Kumla won 2-1 on April 29, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kumla have 4 wins, 2 draws and 9 defeats; Sylvia have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Motala(away) | 0-1 | Division 2 - Södra Svealand |
| Apr 15, 2017 | Södertälje(away) | 0-2 | Division 2 - Södra Svealand |
| Apr 8, 2017 | Assyriska IF(home) | 0-0 | Division 2 - Södra Svealand |
| Oct 15, 2016 | Stenungsund(away) | 1-4 | Division 2 - Norra Götaland |
| Oct 8, 2016 | Skoftebyn(home) | 1-5 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2017 | Assyriska IF(home) | 3-1 | Division 2 - Södra Svealand |
| Apr 17, 2017 | Haninge(away) | 1-1 | Division 2 - Södra Svealand |
| Apr 8, 2017 | Huddinge(home) | 1-0 | Division 2 - Södra Svealand |
| Oct 16, 2016 | Vimmerby(away) | 2-0 | Division 2 - Södra Svealand |
| Oct 9, 2016 | Arameiska / Syrianska(home) | 1-1 | Division 2 - Södra Svealand |
How many goals should we expect?
Kumla score 1.2 and concede 2.1 goals per match over their last 15; Sylvia score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kumla | 1.2 | 2.1 | 3 | 8/15 | 8/15 |
| Sylvia | 1.7 | 1.3 | 6 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Sylvia | 26 | 15 | 2 | 9 | 51 | 34 | 47 |
A question about Kumla vs Sylvia?
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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