Linköping City vs Kumla: result 2-2 and analysis
Division 2 - Södra SvealandRegular Season - 7Kick-off on May 19, 2017 at 05:30 PM (UTC)Arena Linköping, Linköping
Full time
What was the result of Linköping City vs Kumla?
Linköping City and Kumla drew 2-2 on May 19, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Linköping City have 9 wins, 3 draws and 3 defeats; Kumla 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 |
|---|---|---|---|
| May 13, 2017 | Assyriska IF(away) | 5-1 | Division 2 - Södra Svealand |
| May 6, 2017 | Haninge(home) | 3-3 | Division 2 - Södra Svealand |
| May 1, 2017 | Huddinge(away) | 3-1 | Division 2 - Södra Svealand |
| Apr 22, 2017 | Sleipner(home) | 1-1 | Division 2 - Södra Svealand |
| Apr 13, 2017 | Rynninge(away) | 0-0 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Värmdö(home) | 1-4 | Division 2 - Södra Svealand |
| May 6, 2017 | Värmbols(away) | 2-1 | Division 2 - Södra Svealand |
| Apr 29, 2017 | Sylvia(home) | 2-1 | Division 2 - Södra Svealand |
| Apr 22, 2017 | Motala(away) | 0-1 | Division 2 - Södra Svealand |
| Apr 15, 2017 | Södertälje(away) | 0-2 | Division 2 - Södra Svealand |
How many goals should we expect?
Linköping City score 2.3 and concede 1.0 goals per match over their last 15; Kumla score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Linköping City | 2.3 | 1.0 | 5 | 9/15 | 10/15 |
| Kumla | 1.3 | 1.9 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Linköping City vs Kumla?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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