Mura vs Triglav: result 0-0 and analysis
1. SNLRegular Season - 19Kick-off on December 9, 2018 at 12:00 PM (UTC)Mestni Štadion Fazanerija, Murska Sobota
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What was the result of Mura vs Triglav?
Mura and Triglav drew 0-0 on December 9, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mura have 5 wins, 3 draws and 7 defeats; Triglav have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 2, 2018 | Celje(home) | 0-1 | 1. SNL |
| Nov 23, 2018 | Olimpija Ljubljana(away) | 2-2 | 1. SNL |
| Nov 10, 2018 | Gorica(home) | 1-0 | 1. SNL |
| Nov 4, 2018 | Aluminij(away) | 2-0 | 1. SNL |
| Oct 28, 2018 | Krško(away) | 0-2 | 1. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 2, 2018 | Rudar(away) | 1-3 | 1. SNL |
| Nov 25, 2018 | NK Domzale(home) | 1-4 | 1. SNL |
| Nov 10, 2018 | Maribor(away) | 1-4 | 1. SNL |
| Nov 4, 2018 | Krško(home) | 4-3 | 1. SNL |
| Oct 27, 2018 | Celje(home) | 1-2 | 1. SNL |
What does the head-to-head say?
Across the last 2 meetings: 0 Mura wins, 1 draw, 1 Triglav win.
| Date | Score | Competition |
|---|---|---|
| Sep 27, 2018 | Triglav 3-0 Mura | 1. SNL |
| Jul 21, 2018 | Mura 1-1 Triglav | 1. SNL |
How many goals should we expect?
Mura score 1.3 and concede 1.5 goals per match over their last 15; Triglav score 1.4 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mura | 1.3 | 1.5 | 2 | 7/15 | 8/15 |
| Triglav | 1.4 | 2.5 | 1 | 11/15 | 12/15 |
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 Mura vs Triglav?
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