Brondby vs Silkeborg: result 3-1 and analysis
DBU PokalenFinalKick-off on May 10, 2018 at 03:00 PM (UTC)Brøndby Stadion, Brøndby
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What was the result of Brondby vs Silkeborg?
Brondby won 3-1 on May 10, 2018.
Goalscorers
- 33′D. SkhirtladzeSilkeborg
- 35′B. RöckerBrondby
- 41′K. WilczekBrondby
- 90′K. WilczekBrondby
What is the recent form of both teams?
Over their last 15 matches in all competitions, Brondby have 12 wins, 3 draws and 0 defeats; Silkeborg have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2018 | FC Copenhagen(away) | 1-1 | Superliga |
| Apr 29, 2018 | FC Nordsjaelland(home) | 3-1 | Superliga |
| Apr 26, 2018 | FC Midtjylland(home) | 3-1 | DBU Pokalen |
| Apr 22, 2018 | FC Nordsjaelland(away) | 4-3 | Superliga |
| Apr 19, 2018 | FC Midtjylland(away) | 3-2 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2018 | Aarhus(home) | 2-5 | Superliga |
| Apr 25, 2018 | FC Fredericia(away) | 1-0 | DBU Pokalen |
| Apr 22, 2018 | FC Helsingor(away) | 0-0 | Superliga |
| Apr 19, 2018 | Hobro(home) | 2-0 | Superliga |
| Apr 16, 2018 | Hobro(away) | 0-1 | Superliga |
What does the head-to-head say?
Across the last 6 meetings: 6 Brondby win(s), 0 draw(s), 0 Silkeborg win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 26, 2017 | Silkeborg 1-3 Brondby | Superliga |
| Oct 15, 2017 | Brondby 4-1 Silkeborg | Superliga |
| Nov 27, 2016 | Brondby 3-1 Silkeborg | Superliga |
| Jul 24, 2016 | Silkeborg 0-2 Brondby | Superliga |
| May 17, 2015 | Silkeborg 0-2 Brondby | Superliga |
| Dec 7, 2014 | Brondby 1-0 Silkeborg | Superliga |
How many goals should we expect?
Brondby score 2.5 and concede 1.0 goals per match over their last 15; Silkeborg score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brondby | 2.5 | 1.0 | 3 | 12/15 | 10/15 |
| Silkeborg | 1.3 | 1.6 | 4 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy