SfB-Oure vs Silkeborg KFUM: result 3-2 and analysis
Denmark Series - Group 3Regular Season - 9Kick-off on September 29, 2018 at 01:00 PM (UTC)Høje Bøge Stadion, Svendborg
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What was the result of SfB-Oure vs Silkeborg KFUM?
SfB-Oure won 3-2 on September 29, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SfB-Oure have 7 wins, 3 draws and 5 defeats; Silkeborg KFUM have 2, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | B 1913(away) | 3-2 | Denmark Series - Group 3 |
| Sep 15, 2018 | Kolding B(home) | 1-1 | Denmark Series - Group 3 |
| Sep 8, 2018 | Otterup(away) | 2-2 | Denmark Series - Group 3 |
| Aug 31, 2018 | Hedensted(home) | 0-2 | Denmark Series - Group 3 |
| Aug 25, 2018 | Varde IF Elite(home) | 2-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | B 1909(home) | 4-4 | Denmark Series - Group 3 |
| Sep 14, 2018 | Næsby(away) | 0-4 | Denmark Series - Group 3 |
| Sep 8, 2018 | Viborg II(home) | 3-0 | Denmark Series - Group 3 |
| Sep 4, 2018 | Kolding IF(home) | 0-3 | DBU Pokalen |
| Sep 1, 2018 | Varde IF Elite(away) | 1-3 | Denmark Series - Group 3 |
How many goals should we expect?
SfB-Oure score 2.1 and concede 1.6 goals per match over their last 15; Silkeborg KFUM score 1.6 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SfB-Oure | 2.1 | 1.6 | 1 | 11/15 | 11/15 |
| Silkeborg KFUM | 1.6 | 2.6 | 2 | 7/13 | 10/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
SfB-Oure sit 3rd in Denmark Series - Group 3 (36 points from 17 matches) and Silkeborg KFUM sit 9th (15 points from 18 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | SfB-Oure | 17 | 11 | 3 | 3 | 35 | 18 | 36 |
| 9 | Silkeborg KFUM | 18 | 4 | 3 | 11 | 26 | 33 | 15 |
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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