Nora vs AFK Linköping: result 2-3 and analysis
Division 2 - Södra SvealandRegular Season - 13Kick-off on June 28, 2018 at 05:00 PM (UTC)Norvalla, Nora
Full time
What was the result of Nora vs AFK Linköping?
AFK Linköping won 2-3 on June 28, 2018.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Nora have 6 wins, 1 draw and 5 defeats; AFK Linköping have 3, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 21, 2018 | Haninge(away) | 2-3 | Division 2 - Södra Svealand |
| Jun 16, 2018 | Huddinge(home) | 6-3 | Division 2 - Södra Svealand |
| Jun 9, 2018 | Newroz(away) | 1-2 | Division 2 - Södra Svealand |
| Jun 6, 2018 | Södertälje(home) | 4-0 | Division 2 - Södra Svealand |
| May 30, 2018 | Eskilstuna City(home) | 3-1 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2018 | Värmbols(home) | 1-1 | Division 2 - Södra Svealand |
| Jun 16, 2018 | Enskede(away) | 0-3 | Division 2 - Södra Svealand |
| Jun 9, 2018 | Eskilstuna City(home) | 4-0 | Division 2 - Södra Svealand |
| Jun 5, 2018 | Sleipner(away) | 1-0 | Division 2 - Södra Svealand |
| May 26, 2018 | Motala(away) | 1-1 | Division 2 - Södra Svealand |
How many goals should we expect?
Nora score 2.0 and concede 1.6 goals per match over their last 12; AFK Linköping score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nora | 2.0 | 1.6 | 3 | 8/12 | 9/12 |
| AFK Linköping | 1.3 | 1.7 | 3 | 7/12 | 7/12 |
Over the last 12 matches in all competitions.
A question about Nora vs AFK Linköping?
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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