Sydalliancen vs KFUM Roskilde: result 2-1 and analysis
Denmark Series - Group 2Regular Season - 14Kick-off on March 29, 2014 at 02:30 PM (UTC)Rødby Stadion, Rødby
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What was the result of Sydalliancen vs KFUM Roskilde?
Sydalliancen won 2-1 on March 29, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sydalliancen have 2 wins, 1 draws and 12 defeats; KFUM Roskilde have 4, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2013 | Frem Sakskøbing(home) | 2-1 | Denmark Series - Group 2 |
| Oct 26, 2013 | Taastrup(away) | 0-4 | Denmark Series - Group 2 |
| Oct 19, 2013 | Krarup / Espe(home) | 1-1 | Denmark Series - Group 2 |
| Oct 12, 2013 | Aarup(away) | 0-3 | Denmark Series - Group 2 |
| Oct 5, 2013 | Greve(home) | 2-4 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2013 | Kolding B(away) | 4-2 | Denmark Series - Group 2 |
| Oct 26, 2013 | Kolding IF(home) | 2-3 | Denmark Series - Group 2 |
| Oct 19, 2013 | Ringsted(away) | 1-1 | Denmark Series - Group 2 |
| Oct 12, 2013 | Næsby II(home) | 1-1 | Denmark Series - Group 2 |
| Oct 5, 2013 | Slagelse B&I(away) | 0-0 | Denmark Series - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Sydalliancen win(s), 0 draw(s), 1 KFUM Roskilde win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 10, 2013 | KFUM Roskilde 4-1 Sydalliancen | Denmark Series - Group 2 |
Last archived meeting: KFUM Roskilde vs Sydalliancen on Aug 10, 2013
How many goals should we expect?
Sydalliancen score 1.3 and concede 3.4 goals per match over their last 15; KFUM Roskilde score 1.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sydalliancen | 1.3 | 3.4 | 0 | 10/15 | 14/15 |
| KFUM Roskilde | 1.8 | 1.4 | 1 | 11/13 | 7/13 |
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