OKS vs SfB-Oure: result 0-2 and analysis
Denmark Series - Group 3Group 3 - 6Kick-off on September 7, 2019 at 01:00 PM (UTC)OKSON-Park, Odense C
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What was the result of OKS vs SfB-Oure?
SfB-Oure won 0-2 on September 7, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, OKS have 4 wins, 1 draw and 10 defeats; SfB-Oure have 13, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Hedensted(away) | 4-2 | Denmark Series - Group 3 |
| Aug 24, 2019 | Otterup(home) | 1-2 | Denmark Series - Group 3 |
| Aug 17, 2019 | Tarup-Paarup(away) | 3-1 | Denmark Series - Group 3 |
| Aug 10, 2019 | Kolding B(away) | 1-1 | Denmark Series - Group 3 |
| Aug 7, 2019 | Sydvest(home) | 1-2 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2019 | Kolding B(home) | 2-0 | Denmark Series - Group 3 |
| Aug 24, 2019 | Herning Fremad(away) | 0-2 | Denmark Series - Group 3 |
| Aug 16, 2019 | Odder(home) | 2-1 | Denmark Series - Group 3 |
| Aug 9, 2019 | Marienlyst(away) | 1-0 | Denmark Series - Group 3 |
| Aug 6, 2019 | Middelfart(home) | 0-1 | DBU Pokalen |
How many goals should we expect?
OKS score 1.3 and concede 2.0 goals per match over their last 15; SfB-Oure score 2.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| OKS | 1.3 | 2.0 | 1 | 12/15 | 11/15 |
| SfB-Oure | 2.6 | 0.7 | 8 | 5/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
OKS sit 4th in Denmark Series - Group 3 (29 points from 18 matches) and SfB-Oure sit 3rd (36 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | SfB-Oure | 17 | 11 | 3 | 3 | 35 | 18 | 36 |
| 4 | OKS | 18 | 8 | 5 | 5 | 42 | 40 | 29 |
A question about OKS vs SfB-Oure?
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