Nakskov vs Næsby II: result 2-5 and analysis
Denmark Series - Group 2Regular Season - 21Kick-off on May 18, 2013 at 01:30 PM (UTC)Nakskov Stadion
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What was the result of Nakskov vs Næsby II?
Næsby II won 2-5 on May 18, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nakskov have 0 wins, 3 draws and 12 defeats; Næsby II have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2013 | SC Egedal(away) | 1-2 | Denmark Series - Group 2 |
| May 4, 2013 | Marstal / Rise(home) | 0-3 | Denmark Series - Group 2 |
| May 1, 2013 | Døllefjelde-Musse(away) | 2-2 | Denmark Series - Group 2 |
| Apr 20, 2013 | Aarup(home) | 1-2 | Denmark Series - Group 2 |
| Apr 13, 2013 | Slagelse B&I(away) | 2-2 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2013 | Døllefjelde-Musse(away) | 2-3 | Denmark Series - Group 2 |
| May 12, 2013 | Frem Sakskøbing(home) | 2-3 | Denmark Series - Group 2 |
| May 4, 2013 | OKS(away) | 6-0 | Denmark Series - Group 2 |
| Apr 28, 2013 | GVI(home) | 1-3 | Denmark Series - Group 2 |
| Apr 21, 2013 | Hedensted(home) | 1-1 | Denmark Series - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Nakskov wins, 0 draws, 1 Næsby II win.
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2012 | Næsby II 5-0 Nakskov | Denmark Series - Group 2 |
How many goals should we expect?
Nakskov score 0.8 and concede 2.7 goals per match over their last 15; Næsby II score 2.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nakskov | 0.8 | 2.7 | 0 | 9/15 | 11/15 |
| Næsby II | 2.8 | 1.7 | 3 | 12/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Nakskov vs Næsby II?
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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