Match

Næsby II vs OKS: result 1-0 and analysis

Denmark Series - Group 2Regular Season - 6Kick-off on September 16, 2012 at 11:00 AM (UTC)

Næsby II
1-0
OKS

Full time

What was the result of Næsby II vs OKS?

Næsby II won 1-0 on September 16, 2012.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Næsby II have 7 wins, 1 draw and 7 defeats; OKS have 3, 3 and 9.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Næsby II
DateOpponentScoreCompetition
Sep 8, 2012GVI(away)1-0Denmark Series - Group 2
Sep 1, 2012Hedensted(away)0-5Denmark Series - Group 2
Aug 26, 2012SC Egedal(home)1-1Denmark Series - Group 2
Aug 19, 2012Marstal / Rise(away)3-1Denmark Series - Group 2
Aug 12, 2012Døllefjelde-Musse(home)3-1Denmark Series - Group 2
OKS
DateOpponentScoreCompetition
Sep 8, 2012SC Egedal(home)0-8Denmark Series - Group 2
Sep 2, 2012Marstal / Rise(away)0-5Denmark Series - Group 2
Aug 25, 2012Døllefjelde-Musse(home)1-9Denmark Series - Group 2
Aug 18, 2012Aarup(away)1-2Denmark Series - Group 2
Aug 11, 2012Slagelse B&I(home)1-2Denmark Series - Group 2

What does the head-to-head say?

Across the last 2 meetings: 1 Næsby II win, 0 draws, 1 OKS win.

DateScoreCompetition
Apr 9, 2012OKS 0-2 Næsby IIDenmark Series - Group 2
Aug 21, 2011Næsby II 1-4 OKSDenmark Series - Group 2

Last archived meeting: OKS vs Næsby II on Apr 9, 2012

How many goals should we expect?

Næsby II score 1.7 and concede 2.6 goals per match over their last 15; OKS score 1.1 and concede 2.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Næsby II1.72.6211/1511/15
OKS1.12.739/1513/15

Over the last 15 matches in all competitions.

A question about Næsby II vs OKS?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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

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