Silkeborg KFUM vs Roskilde: result 2-2 and analysis
3. DivisionRegular Season - 16Kick-off on November 13, 2021 at 01:00 PM (UTC)JYSK park, Silkeborg
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What was the result of Silkeborg KFUM vs Roskilde?
Silkeborg KFUM and Roskilde drew 2-2 on November 13, 2021.
Goalscorers
- 40′?Roskilde
- 45′?Silkeborg KFUM
- 54′?Silkeborg KFUM
- 72′?Roskilde
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silkeborg KFUM have 5 wins, 4 draws and 6 defeats; Roskilde have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2021 | Frem(away) | 0-1 | 3. Division |
| Oct 31, 2021 | KFUM Roskilde(home) | 4-0 | 3. Division |
| Oct 23, 2021 | Herlev(away) | 2-0 | 3. Division |
| Oct 17, 2021 | Lyseng(home) | 1-2 | 3. Division |
| Oct 9, 2021 | VSK Århus(away) | 4-1 | 3. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2021 | VSK Århus(home) | 4-3 | 3. Division |
| Oct 29, 2021 | Herlev(home) | 2-3 | 3. Division |
| Oct 23, 2021 | Frem(away) | 2-2 | 3. Division |
| Oct 16, 2021 | Dalum(home) | 3-0 | 3. Division |
| Oct 9, 2021 | KFUM Roskilde(away) | 1-1 | 3. Division |
What does the head-to-head say?
In the last meeting: 0 Silkeborg KFUM wins, 0 draws, 1 Roskilde win.
| Date | Score | Competition |
|---|---|---|
| Aug 28, 2021 | Roskilde 4-1 Silkeborg KFUM | 3. Division |
Last archived meeting: Roskilde vs Silkeborg KFUM on Aug 28, 2021
How many goals should we expect?
Silkeborg KFUM score 1.7 and concede 1.7 goals per match over their last 15; Roskilde score 3.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg KFUM | 1.7 | 1.7 | 3 | 10/15 | 11/15 |
| Roskilde | 3.0 | 1.3 | 4 | 11/15 | 14/15 |
Over the last 15 matches in all competitions.
A question about Silkeborg KFUM vs Roskilde?
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