Mura vs Krško: result 5-0 and analysis
1. SNLRegular Season - 23Kick-off on March 16, 2019 at 04:00 PM (UTC)Mestni Štadion Fazanerija, Murska Sobota
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What was the result of Mura vs Krško?
Mura won 5-0 on March 16, 2019.
Goalscorers
- 19′A. MarošaMura
- 41′L. BobičanecMura
- 46′A. MarošaMura
- 69′K. PučkoMura
- 86′M. MaruškoMura
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mura have 4 wins, 5 draws and 6 defeats; Krško have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2019 | Rudar(away) | 0-1 | 1. SNL |
| Mar 2, 2019 | NK Domzale(home) | 0-0 | 1. SNL |
| Feb 23, 2019 | Maribor(away) | 1-1 | 1. SNL |
| Dec 9, 2018 | Triglav(home) | 0-0 | 1. SNL |
| Dec 2, 2018 | Celje(home) | 0-1 | 1. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2019 | Celje(home) | 1-1 | 1. SNL |
| Mar 3, 2019 | Rudar(away) | 0-1 | 1. SNL |
| Feb 24, 2019 | Olimpija Ljubljana(home) | 1-4 | 1. SNL |
| Dec 8, 2018 | NK Domzale(away) | 1-2 | 1. SNL |
| Dec 1, 2018 | Gorica(home) | 1-0 | 1. SNL |
What does the head-to-head say?
Across the last 2 meetings: 0 Mura win(s), 0 draw(s), 2 Krško win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 28, 2018 | Krško 2-0 Mura | 1. SNL |
| Aug 19, 2018 | Mura 0-1 Krško | 1. SNL |
How many goals should we expect?
Mura score 0.9 and concede 1.1 goals per match over their last 15; Krško score 0.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mura | 0.9 | 1.1 | 4 | 5/15 | 5/15 |
| Krško | 0.8 | 1.9 | 3 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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