Koper vs Mura: result 1-3 and analysis
1. SNLRegular Season - 5Kick-off on September 27, 2020 at 04:00 PM (UTC)ŠRC Bonifika, Koper
Full time
What was the result of Koper vs Mura?
Mura won 1-3 on September 27, 2020.
Goalscorers
- 1′Kevin ŽižekMura
- 35′N. KouterMura
- 47′A. FilipovićMura
- 57′N. MulahusejnovićKoper
What is the recent form of both teams?
Over their last 15 matches in all competitions, Koper have 6 wins, 4 draws and 5 defeats; Mura have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2020 | Bravo(away) | 0-0 | 1. SNL |
| Sep 13, 2020 | Gorica(away) | 4-2 | 1. SNL |
| Sep 2, 2020 | Bohinj(away) | 10-0 | Cup |
| Aug 30, 2020 | Olimpija Ljubljana(home) | 1-1 | 1. SNL |
| Aug 22, 2020 | Tabor Sežana(away) | 0-1 | 1. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2020 | PSV Eindhoven(home) | 1-5 | UEFA Europa League |
| Sep 20, 2020 | Gorica(home) | 1-0 | 1. SNL |
| Sep 17, 2020 | Aarhus(home) | 3-0 | UEFA Europa League |
| Sep 13, 2020 | Olimpija Ljubljana(away) | 0-0 | 1. SNL |
| Sep 10, 2020 | Kalju Nomme(away) | 4-0 | UEFA Europa League |
How many goals should we expect?
Koper score 2.5 and concede 1.1 goals per match over their last 15; Mura score 1.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Koper | 2.5 | 1.1 | 4 | 7/15 | 8/15 |
| Mura | 1.6 | 1.0 | 8 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Koper sit 1st in 1. SNL (3 points from 1 matches) and Mura sit 3rd (1 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Koper | 1 | 1 | 0 | 0 | 2 | 0 | 3 |
| 2 | Koper | 6 | 2 | 3 | 1 | 6 | 5 | 9 |
| 3 | Mura | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
| 8 | Mura | 6 | 2 | 1 | 3 | 8 | 12 | 7 |
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