Silkeborg KFUM vs VRI: result 3-1 and analysis
Denmark Series - Group 4Group 4 - 2Kick-off on August 27, 2019 at 05:30 PM (UTC)JYSK park, Silkeborg
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What was the result of Silkeborg KFUM vs VRI?
Silkeborg KFUM won 3-1 on August 27, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silkeborg KFUM have 8 wins, 1 draw and 6 defeats; VRI 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 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 |
| Jun 15, 2019 | SfB-Oure(away) | 0-3 | Denmark Series - Group 3 |
| Jun 10, 2019 | B 1909(home) | 3-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Aarhus Fremad II(home) | 0-4 | Denmark Series - Group 4 |
| Aug 18, 2019 | Holstebro(away) | 2-3 | Denmark Series - Group 4 |
| Aug 13, 2019 | Djursland(home) | 3-1 | Denmark Series - Group 4 |
| Aug 9, 2017 | Skive(home) | 0-4 | DBU Pokalen |
| Jun 20, 2015 | Hobro II(away) | 1-1 | Denmark Series - Group 3 |
How many goals should we expect?
Silkeborg KFUM score 2.2 and concede 1.7 goals per match over their last 15; VRI score 1.5 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg KFUM | 2.2 | 1.7 | 2 | 10/15 | 12/15 |
| VRI | 1.5 | 2.6 | 0 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | VRI | 18 | 4 | 3 | 11 | 27 | 42 | 15 |
A question about Silkeborg KFUM vs VRI?
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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