OKS vs Næsby II: result 0-6 and analysis
Denmark Series - Group 2Regular Season - 19Kick-off on May 4, 2013 at 01:00 PM (UTC)OKSON-Park, Odense C
Full time
What was the result of OKS vs Næsby II?
Næsby II won 0-6 on May 4, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, OKS have 1 win, 0 draws and 14 defeats; Næsby II have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2013 | SC Egedal(away) | 1-5 | Denmark Series - Group 2 |
| Apr 20, 2013 | Marstal / Rise(home) | 1-2 | Denmark Series - Group 2 |
| Apr 1, 2013 | Slagelse B&I(away) | 2-3 | Denmark Series - Group 2 |
| Nov 3, 2012 | Ringsted(away) | 0-4 | Denmark Series - Group 2 |
| Oct 27, 2012 | Greve(home) | 1-6 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2013 | GVI(home) | 1-3 | Denmark Series - Group 2 |
| Apr 21, 2013 | Hedensted(home) | 1-1 | Denmark Series - Group 2 |
| Apr 13, 2013 | SC Egedal(away) | 1-2 | Denmark Series - Group 2 |
| Apr 7, 2013 | Marstal / Rise(home) | 2-1 | Denmark Series - Group 2 |
| Nov 3, 2012 | Aarup(away) | 3-1 | Denmark Series - Group 2 |
What does the head-to-head say?
Across the last 3 meetings: 1 OKS win, 0 draws, 2 Næsby II wins.
| Date | Score | Competition |
|---|---|---|
| Sep 16, 2012 | Næsby II 1-0 OKS | Denmark Series - Group 2 |
| Apr 9, 2012 | OKS 0-2 Næsby II | Denmark Series - Group 2 |
| Aug 21, 2011 | Næsby II 1-4 OKS | Denmark Series - Group 2 |
How many goals should we expect?
OKS score 1.1 and concede 4.1 goals per match over their last 15; Næsby II score 2.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| OKS | 1.1 | 4.1 | 0 | 11/15 | 14/15 |
| Næsby II | 2.3 | 1.7 | 3 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about OKS 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