Silkeborg KFUM vs Kjellerup: result 1-6 and analysis
Denmark Series - Group 4Group 4 - 6Kick-off on September 6, 2019 at 05:00 PM (UTC)JYSK park, Silkeborg
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What was the result of Silkeborg KFUM vs Kjellerup?
Kjellerup won 1-6 on September 6, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silkeborg KFUM have 9 wins, 0 draws and 6 defeats; Kjellerup have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Lyseng(away) | 4-1 | Denmark Series - Group 4 |
| Aug 27, 2019 | VRI(home) | 3-1 | Denmark Series - Group 4 |
| Aug 23, 2019 | Skjold Sæby(home) | 3-0 | Denmark Series - Group 4 |
| Aug 17, 2019 | Aarhus Fremad II(away) | 1-2 | Denmark Series - Group 4 |
| Aug 4, 2019 | Holstebro(away) | 1-7 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Djursland(home) | 1-2 | Denmark Series - Group 4 |
| Aug 28, 2019 | Vendsyssel FF(home) | 0-9 | DBU Pokalen |
| Aug 22, 2019 | Nørresundby(away) | 2-3 | Denmark Series - Group 4 |
| Aug 17, 2019 | Viby(home) | 7-1 | Denmark Series - Group 4 |
| Aug 11, 2019 | Holstebro(away) | 3-3 | Denmark Series - Group 4 |
How many goals should we expect?
Silkeborg KFUM score 2.3 and concede 1.6 goals per match over their last 15; Kjellerup score 1.9 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg KFUM | 2.3 | 1.6 | 2 | 10/15 | 13/15 |
| Kjellerup | 1.9 | 2.9 | 1 | 12/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Kjellerup | 18 | 3 | 2 | 13 | 20 | 43 | 11 |
A question about Silkeborg KFUM vs Kjellerup?
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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