Sydalliancen vs Næsby II: result 1-2 and analysis
Denmark Series - Group 2Regular Season - 16Kick-off on April 12, 2014 at 01:30 PM (UTC)Rødby Stadion, Rødby
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What was the result of Sydalliancen vs Næsby II?
Næsby II won 1-2 on April 12, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sydalliancen have 4 wins, 1 draws and 10 defeats; Næsby II have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2014 | Slagelse B&I(away) | 2-0 | Denmark Series - Group 2 |
| Mar 29, 2014 | KFUM Roskilde(home) | 2-1 | Denmark Series - Group 2 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2014 | Kolding B(home) | 0-2 | Denmark Series - Group 2 |
| Mar 29, 2014 | Kolding IF(away) | 0-3 | Denmark Series - Group 2 |
| Nov 2, 2013 | Ringsted(away) | 0-2 | Denmark Series - Group 2 |
| Oct 27, 2013 | Marstal / Rise(home) | 2-1 | Denmark Series - Group 2 |
| Oct 20, 2013 | Slagelse B&I(home) | 1-3 | Denmark Series - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Sydalliancen win(s), 0 draw(s), 1 Næsby II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2013 | Næsby II 3-0 Sydalliancen | Denmark Series - Group 2 |
Last archived meeting: Næsby II vs Sydalliancen on Aug 25, 2013
How many goals should we expect?
Sydalliancen score 1.5 and concede 2.9 goals per match over their last 15; Næsby II score 2.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sydalliancen | 1.5 | 2.9 | 1 | 10/15 | 13/15 |
| Næsby II | 2.0 | 1.7 | 3 | 9/15 | 10/15 |
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