Mjallby AIF vs Kalmar FF: result 2-2 and analysis
AllsvenskanRegular Season - 11Kick-off on July 27, 2020 at 05:00 PM (UTC)Strandvallen, Sölvesborg
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What was the result of Mjallby AIF vs Kalmar FF?
Mjallby AIF and Kalmar FF drew 2-2 on July 27, 2020.
Goalscorers
- 39′M. OgbuMjallby AIF
- 64′J. GustavssonMjallby AIF
- 68′E. CronaKalmar FF
- 90′F. AlitiKalmar FF
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mjallby AIF have 8 wins, 2 draws and 5 defeats; Kalmar FF have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 23, 2020 | IF Elfsborg(home) | 0-5 | Allsvenskan |
| Jul 20, 2020 | Orebro SK(away) | 1-3 | Allsvenskan |
| Jul 16, 2020 | Varbergs BoIS FC(away) | 0-1 | Allsvenskan |
| Jul 12, 2020 | BK Hacken(home) | 3-1 | Allsvenskan |
| Jul 9, 2020 | Malmo FF(home) | 0-0 | Svenska Cupen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 23, 2020 | Sirius(home) | 1-1 | Allsvenskan |
| Jul 19, 2020 | Malmo FF(away) | 1-2 | Allsvenskan |
| Jul 16, 2020 | Hammarby FF(home) | 1-2 | Allsvenskan |
| Jul 13, 2020 | IF Elfsborg(home) | 1-2 | Allsvenskan |
| Jul 6, 2020 | Varbergs BoIS FC(away) | 0-1 | Allsvenskan |
How many goals should we expect?
Mjallby AIF score 1.4 and concede 1.2 goals per match over their last 15; Kalmar FF score 1.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mjallby AIF | 1.4 | 1.2 | 5 | 6/15 | 8/15 |
| Kalmar FF | 1.9 | 1.4 | 5 | 8/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Mjallby AIF sit 11th in Allsvenskan (20 points from 16 matches) and Kalmar FF sit 13th (19 points from 18 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Mjallby AIF | 16 | 5 | 5 | 6 | 24 | 23 | 20 |
| 13 | Kalmar FF | 18 | 5 | 4 | 9 | 21 | 28 | 19 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy