Atvidabergs FF vs Smedby: result 2-0 and analysis
Division 2 - Södra SvealandSödra Svealand - 4Kick-off on April 22, 2024 at 05:00 PM (UTC)Kopparvallen, Åtvidaberg
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What was the result of Atvidabergs FF vs Smedby?
Atvidabergs FF won 2-0 on April 22, 2024.
Goalscorers
- 32′?Atvidabergs FF
- 36′?Atvidabergs FF
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atvidabergs FF have 4 wins, 3 draws and 8 defeats; Smedby have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2024 | Enskede(away) | 1-2 | Division 2 - Södra Svealand |
| Apr 5, 2024 | Mjölby(away) | 3-1 | Division 2 - Södra Svealand |
| Mar 31, 2024 | Huddinge(home) | 1-0 | Division 2 - Södra Svealand |
| Mar 23, 2024 | Oskarshamns AIK(away) | 2-2 | Friendlies Clubs |
| Nov 11, 2023 | Vänersborgs IF(away) | 2-3 | Ettan - Södra |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2024 | Huddinge(home) | 3-1 | Division 2 - Södra Svealand |
| Apr 7, 2024 | Nyköping(away) | 1-2 | Division 2 - Södra Svealand |
| Mar 29, 2024 | Sylvia(home) | 0-0 | Division 2 - Södra Svealand |
| Oct 21, 2023 | Karlslund(away) | 5-0 | Division 2 - Södra Svealand |
| Oct 15, 2023 | Nacka Iliria(home) | 5-0 | Division 2 - Södra Svealand |
How many goals should we expect?
Atvidabergs FF score 1.2 and concede 1.6 goals per match over their last 15; Smedby score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atvidabergs FF | 1.2 | 1.6 | 2 | 9/15 | 9/15 |
| Smedby | 1.5 | 1.5 | 4 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Smedby | 12 | 7 | 2 | 3 | 28 | 15 | 23 |
| 6 | Smedby | 18 | 9 | 4 | 5 | 35 | 24 | 31 |
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