Krško vs Mura: result 0-3 and analysis
1. SNLRegular Season - 32Kick-off on May 11, 2019 at 01:20 PM (UTC)Štadion Matije Gubca, Krško
Full time
What was the result of Krško vs Mura?
Mura won 0-3 on May 11, 2019.
Goalscorers
- 25′Luka VolaričMura (o.g.)
- 49′R. SirkMura
- 83′Nik LorbekMura
What is the recent form of both teams?
Over their last 15 matches in all competitions, Krško have 2 wins, 3 draws and 10 defeats; Mura have 4, 8 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2019 | Celje(away) | 0-0 | 1. SNL |
| May 2, 2019 | Rudar(home) | 1-2 | 1. SNL |
| Apr 28, 2019 | Olimpija Ljubljana(away) | 2-3 | 1. SNL |
| Apr 22, 2019 | NK Domzale(home) | 1-2 | 1. SNL |
| Apr 14, 2019 | Gorica(away) | 2-1 | 1. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2019 | Rudar(home) | 3-3 | 1. SNL |
| May 1, 2019 | NK Domzale(away) | 1-1 | 1. SNL |
| Apr 28, 2019 | Maribor(home) | 2-2 | 1. SNL |
| Apr 20, 2019 | Triglav(away) | 1-2 | 1. SNL |
| Apr 14, 2019 | Celje(away) | 2-0 | 1. SNL |
What does the head-to-head say?
Across the last 3 meetings: 2 Krško wins, 0 draws, 1 Mura win.
| Date | Score | Competition |
|---|---|---|
| Mar 16, 2019 | Mura 5-0 Krško | 1. SNL |
| Oct 28, 2018 | Krško 2-0 Mura | 1. SNL |
| Aug 19, 2018 | Mura 0-1 Krško | 1. SNL |
How many goals should we expect?
Krško score 0.8 and concede 1.9 goals per match over their last 15; Mura score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krško | 0.8 | 1.9 | 2 | 9/15 | 9/15 |
| Mura | 1.4 | 0.9 | 7 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Mura | 11 | 2 | 4 | 5 | 13 | 24 | 10 |
A question about Krško vs Mura?
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