Mura vs Rudar: result 2-1 and analysis
1. SNLRegular Season - 13Kick-off on October 20, 2018 at 12:00 PM (UTC)Mestni Štadion Fazanerija, Murska Sobota
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What was the result of Mura vs Rudar?
Mura won 2-1 on October 20, 2018.
Goalscorers
- 26′Ž. KarničnikMura
- 32′M. TučićRudar
- 72′L. ŠušnjaraMura
What is the recent form of both teams?
Over their last 12 matches in all competitions, Mura have 3 wins, 4 draws and 5 defeats; Rudar have 3, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2018 | NK Domzale(away) | 2-2 | 1. SNL |
| Sep 30, 2018 | Maribor(home) | 4-1 | 1. SNL |
| Sep 27, 2018 | Triglav(away) | 0-3 | 1. SNL |
| Sep 23, 2018 | Celje(away) | 0-1 | 1. SNL |
| Sep 16, 2018 | Olimpija Ljubljana(home) | 0-2 | 1. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2018 | Krško(away) | 0-0 | 1. SNL |
| Sep 30, 2018 | NK Domzale(home) | 2-1 | 1. SNL |
| Sep 27, 2018 | Maribor(away) | 0-3 | 1. SNL |
| Sep 23, 2018 | Triglav(away) | 2-1 | 1. SNL |
| Sep 15, 2018 | Celje(home) | 0-1 | 1. SNL |
What does the head-to-head say?
In the last meeting: 0 Mura wins, 0 draws, 1 Rudar win.
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2018 | Rudar 3-2 Mura | 1. SNL |
How many goals should we expect?
Mura score 1.6 and concede 1.6 goals per match over their last 12; Rudar score 0.8 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mura | 1.6 | 1.6 | 1 | 7/12 | 7/12 |
| Rudar | 0.8 | 2.3 | 1 | 5/12 | 8/12 |
Over the last 12 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 Mura vs Rudar?
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