Silkeborg KFUM vs Nørresundby: result 3-2 and analysis
Denmark Series - Group 4Group 4 - 8Kick-off on September 20, 2019 at 05:00 PM (UTC)JYSK park, Silkeborg
Full time
What was the result of Silkeborg KFUM vs Nørresundby?
Silkeborg KFUM won 3-2 on September 20, 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; Nørresundby have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Viby(away) | 3-2 | Denmark Series - Group 4 |
| Sep 6, 2019 | Kjellerup(home) | 1-6 | Denmark Series - Group 4 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Djursland(home) | 1-1 | Denmark Series - Group 4 |
| Sep 11, 2019 | Aalborg(home) | 0-8 | DBU Pokalen |
| Sep 7, 2019 | Holstebro(home) | 0-3 | Denmark Series - Group 4 |
| Aug 31, 2019 | Viby(away) | 2-4 | Denmark Series - Group 4 |
| Aug 22, 2019 | Kjellerup(home) | 3-2 | Denmark Series - Group 4 |
How many goals should we expect?
Silkeborg KFUM score 2.3 and concede 1.9 goals per match over their last 15; Nørresundby score 1.8 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg KFUM | 2.3 | 1.9 | 2 | 10/15 | 13/15 |
| Nørresundby | 1.8 | 2.5 | 2 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Nørresundby | 18 | 4 | 5 | 9 | 27 | 40 | 17 |
A question about Silkeborg KFUM vs Nørresundby?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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