Næsby II vs Marstal / Rise: result 2-1 and analysis
Denmark Series - Group 2Regular Season - 15Kick-off on April 7, 2013 at 11:00 AM (UTC)
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What was the result of Næsby II vs Marstal / Rise?
Næsby II won 2-1 on April 7, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Næsby II have 10 wins, 1 draws and 4 defeats; Marstal / Rise have 8, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2012 | Aarup(away) | 3-1 | Denmark Series - Group 2 |
| Oct 28, 2012 | Slagelse B&I(home) | 2-3 | Denmark Series - Group 2 |
| Oct 20, 2012 | Ringsted(away) | 3-4 | Denmark Series - Group 2 |
| Oct 14, 2012 | Greve(home) | 7-2 | Denmark Series - Group 2 |
| Oct 6, 2012 | Næstved II(away) | 2-1 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2012 | Hedensted(away) | 1-2 | Denmark Series - Group 2 |
| Oct 28, 2012 | Døllefjelde-Musse(home) | 4-1 | Denmark Series - Group 2 |
| Oct 20, 2012 | Aarup(away) | 1-0 | Denmark Series - Group 2 |
| Oct 14, 2012 | Slagelse B&I(home) | 3-1 | Denmark Series - Group 2 |
| Oct 6, 2012 | Ringsted(away) | 2-2 | Denmark Series - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 1 Næsby II win(s), 0 draw(s), 0 Marstal / Rise win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 19, 2012 | Marstal / Rise 1-3 Næsby II | Denmark Series - Group 2 |
Last archived meeting: Marstal / Rise vs Næsby II on Aug 19, 2012
How many goals should we expect?
Næsby II score 2.7 and concede 1.8 goals per match over their last 15; Marstal / Rise score 2.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Næsby II | 2.7 | 1.8 | 3 | 11/15 | 12/15 |
| Marstal / Rise | 2.0 | 1.7 | 4 | 8/14 | 11/14 |
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