Kolding B vs OKS: result 1-1 and analysis
Denmark Series - Group 3Group 3 - 2Kick-off on August 10, 2019 at 01:30 PM (UTC)Mosevej Sportsplads, Kolding
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What was the result of Kolding B vs OKS?
Kolding B and OKS drew 1-1 on August 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kolding B have 6 wins, 2 draws and 7 defeats; OKS have 3, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2019 | Marstal / Rise(away) | 3-5 | DBU Pokalen |
| Aug 2, 2019 | Tarup-Paarup(away) | 4-1 | Denmark Series - Group 3 |
| Jun 15, 2019 | Otterup(away) | 3-3 | Denmark Series - Group 3 |
| Jun 7, 2019 | Hedensted(home) | 0-3 | Denmark Series - Group 3 |
| Jun 1, 2019 | SfB-Oure(away) | 0-3 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2019 | Sydvest(home) | 1-2 | DBU Pokalen |
| Aug 3, 2019 | Herning Fremad(home) | 1-4 | Denmark Series - Group 3 |
| Aug 7, 2018 | Marienlyst(home) | 2-4 | DBU Pokalen |
| Aug 31, 2016 | Viborg(home) | 0-2 | DBU Pokalen |
| Aug 9, 2016 | Næsby(home) | 2-1 | DBU Pokalen |
How many goals should we expect?
Kolding B score 1.7 and concede 2.4 goals per match over their last 15; OKS score 1.1 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kolding B | 1.7 | 2.4 | 3 | 8/15 | 12/15 |
| OKS | 1.1 | 2.4 | 2 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | OKS | 18 | 8 | 5 | 5 | 42 | 40 | 29 |
A question about Kolding B 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