AFK Linköping vs Motala: result 2-2 and analysis
Division 2 - Södra SvealandRegular Season - 21Kick-off on September 15, 2018 at 02:00 PM (UTC)Arena Linköping, Linköping
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What was the result of AFK Linköping vs Motala?
AFK Linköping and Motala drew 2-2 on September 15, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AFK Linköping have 5 wins, 2 draws and 8 defeats; Motala have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2018 | Haninge(away) | 0-5 | Division 2 - Södra Svealand |
| Sep 1, 2018 | Huddinge(home) | 1-3 | Division 2 - Södra Svealand |
| Aug 25, 2018 | Newroz(away) | 0-1 | Division 2 - Södra Svealand |
| Aug 18, 2018 | Södertälje(home) | 0-2 | Division 2 - Södra Svealand |
| Aug 14, 2018 | Sylvia(away) | 0-2 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2018 | Aspudden-Tellus(home) | 4-1 | Division 2 - Södra Svealand |
| Sep 1, 2018 | Haninge(away) | 1-2 | Division 2 - Södra Svealand |
| Aug 27, 2018 | Nora(home) | 4-1 | Division 2 - Södra Svealand |
| Aug 18, 2018 | Huddinge(away) | 4-0 | Division 2 - Södra Svealand |
| Aug 11, 2018 | Värmbols(home) | 1-4 | Division 2 - Södra Svealand |
What does the head-to-head say?
Across the last 1 meetings: 0 AFK Linköping win(s), 1 draw(s), 0 Motala win(s).
| Date | Score | Competition |
|---|---|---|
| May 26, 2018 | Motala 1-1 AFK Linköping | Division 2 - Södra Svealand |
Last archived meeting: Motala vs AFK Linköping on May 26, 2018
How many goals should we expect?
AFK Linköping score 1.1 and concede 1.9 goals per match over their last 15; Motala score 2.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AFK Linköping | 1.1 | 1.9 | 2 | 7/15 | 9/15 |
| Motala | 2.7 | 1.5 | 3 | 12/15 | 14/15 |
Over the last 15 matches in all competitions.
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