Haninge vs Kumla: result 4-3 and analysis
Division 2 - Södra SvealandRegular Season - 13Kick-off on June 22, 2017 at 05:30 PM (UTC)Torvalla IP 1, Haninge
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What was the result of Haninge vs Kumla?
Haninge won 4-3 on June 22, 2017.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Haninge have 5 wins, 4 draws and 3 defeats; Kumla have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2017 | Assyriska IF(away) | 2-4 | Division 2 - Södra Svealand |
| Jun 10, 2017 | Södertälje(home) | 1-1 | Division 2 - Södra Svealand |
| Jun 3, 2017 | Huddinge(home) | 2-1 | Division 2 - Södra Svealand |
| May 28, 2017 | Sleipner(away) | 1-2 | Division 2 - Södra Svealand |
| May 24, 2017 | Rynninge(home) | 1-0 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2017 | Huddinge(home) | 0-0 | Division 2 - Södra Svealand |
| Jun 11, 2017 | Sleipner(away) | 1-1 | Division 2 - Södra Svealand |
| Jun 2, 2017 | Rynninge(home) | 2-6 | Division 2 - Södra Svealand |
| May 28, 2017 | Örebro Syrianska(away) | 2-3 | Division 2 - Södra Svealand |
| May 25, 2017 | Boo(home) | 0-2 | Division 2 - Södra Svealand |
How many goals should we expect?
Haninge score 1.7 and concede 1.9 goals per match over their last 12; Kumla score 1.0 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Haninge | 1.7 | 1.9 | 2 | 9/12 | 8/12 |
| Kumla | 1.0 | 2.2 | 2 | 10/15 | 8/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Haninge | 25 | 13 | 4 | 8 | 62 | 50 | 43 |
A question about Haninge vs Kumla?
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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