Atvidabergs FF vs Kumla: result 4-1 and analysis
Division 2 - Södra SvealandSödra Svealand - 2Kick-off on June 27, 2020 at 01:00 PM (UTC)Kopparvallen, Åtvidaberg
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What was the result of Atvidabergs FF vs Kumla?
Atvidabergs FF won 4-1 on June 27, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atvidabergs FF have 2 wins, 5 draws and 8 defeats; Kumla have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2020 | Assyriska FF(away) | 1-4 | Division 2 - Södra Svealand |
| Nov 2, 2019 | Lund(home) | 2-2 | Ettan - Södra |
| Oct 26, 2019 | Assyriska Turabdin(away) | 3-1 | Ettan - Södra |
| Oct 19, 2019 | Lindome(home) | 0-0 | Ettan - Södra |
| Oct 13, 2019 | Kristianstad(away) | 2-1 | Ettan - Södra |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2020 | Gute(home) | 2-1 | Division 2 - Södra Svealand |
| Oct 14, 2017 | Sleipner(home) | 2-2 | Division 2 - Södra Svealand |
| Oct 7, 2017 | Huddinge(away) | 1-3 | Division 2 - Södra Svealand |
| Sep 30, 2017 | Haninge(home) | 3-2 | Division 2 - Södra Svealand |
| Sep 23, 2017 | Örebro Syrianska(home) | 2-1 | Division 2 - Södra Svealand |
How many goals should we expect?
Atvidabergs FF score 1.1 and concede 1.7 goals per match over their last 15; Kumla score 1.5 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atvidabergs FF | 1.1 | 1.7 | 1 | 10/15 | 7/15 |
| Kumla | 1.5 | 2.1 | 1 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Atvidabergs FF | 26 | 21 | 3 | 3 | 70 | 18 | 66 |
A question about Atvidabergs FF 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