Silkeborg KFUM vs Kolding B: result 1-3 and analysis
Denmark Series - Group 3Regular Season - 3Kick-off on August 17, 2018 at 04:30 PM (UTC)Søholt Idrætsanlæg græs, Silkeborg
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What was the result of Silkeborg KFUM vs Kolding B?
Kolding B won 1-3 on August 17, 2018.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Silkeborg KFUM have 1 win, 0 draws and 5 defeats; Kolding B have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 11, 2018 | Otterup(away) | 0-1 | Denmark Series - Group 3 |
| Aug 7, 2018 | Herning KFUM(away) | 5-0 | DBU Pokalen |
| Aug 4, 2018 | Hedensted(home) | 0-2 | Denmark Series - Group 3 |
| Aug 9, 2017 | Viborg(home) | 1-3 | DBU Pokalen |
| Aug 9, 2016 | Brabrand(home) | 2-6 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2018 | B 1913(home) | 0-1 | Denmark Series - Group 3 |
| Aug 4, 2018 | Varde IF Elite(away) | 1-4 | Denmark Series - Group 3 |
| Jun 1, 2018 | Esbjerg II(home) | 1-2 | Denmark Series - Group 3 |
| May 26, 2018 | VSK Aarhus II(away) | 1-2 | Denmark Series - Group 3 |
| May 18, 2018 | B 1909(home) | 2-4 | Denmark Series - Group 3 |
How many goals should we expect?
Silkeborg KFUM score 1.8 and concede 2.7 goals per match over their last 6; Kolding B score 1.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg KFUM | 1.8 | 2.7 | 1 | 3/6 | 4/6 |
| Kolding B | 1.7 | 2.1 | 4 | 9/15 | 11/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Silkeborg KFUM | 18 | 4 | 3 | 11 | 26 | 33 | 15 |
A question about Silkeborg KFUM vs Kolding B?
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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