Kumla vs Rynninge: result 3-2 and analysis
Division 2 - Norra GötalandRegular Season - 7Kick-off on May 16, 2016 at 05:00 PM (UTC)Kumla IP, Kumla
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What was the result of Kumla vs Rynninge?
Kumla won 3-2 on May 16, 2016.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Kumla have 3 wins, 1 draw and 2 defeats; Rynninge have 1, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2016 | Grebbestad(home) | 4-1 | Division 2 - Norra Götaland |
| May 5, 2016 | Gauthiod(away) | 1-1 | Division 2 - Norra Götaland |
| Apr 30, 2016 | Skövde AIK(home) | 0-6 | Division 2 - Norra Götaland |
| Apr 23, 2016 | Gunnilse(away) | 1-0 | Division 2 - Norra Götaland |
| Apr 16, 2016 | Lidköping(home) | 0-4 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2016 | Örebro Syrianska(home) | 0-3 | Division 2 - Norra Götaland |
| May 5, 2016 | Grebbestad(away) | 0-1 | Division 2 - Norra Götaland |
| May 1, 2016 | Skoftebyn(home) | 1-1 | Division 2 - Norra Götaland |
| Apr 23, 2016 | Gauthiod(away) | 2-2 | Division 2 - Norra Götaland |
| Apr 16, 2016 | Stenungsund(home) | 0-2 | Division 2 - Norra Götaland |
How many goals should we expect?
Kumla score 1.2 and concede 2.0 goals per match over their last 6; Rynninge score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kumla | 1.2 | 2.0 | 2 | 2/6 | 3/6 |
| Rynninge | 0.7 | 1.5 | 1 | 2/6 | 2/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Kumla | 25 | 6 | 8 | 11 | 26 | 45 | 26 |
A question about Kumla vs Rynninge?
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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