Triglav vs Mura: result 2-1 and analysis
1. SNLRegular Season - 28Kick-off on April 20, 2019 at 12:45 PM (UTC)Športni Center Stanko Mlakar, Kranj
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What was the result of Triglav vs Mura?
Triglav won 2-1 on April 20, 2019.
Goalscorers
- 27′L. ŠušnjaraMura
- 62′L. MajcenTriglav (pen.)
- 68′L. MajcenTriglav (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Triglav have 5 wins, 1 draws and 9 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 |
|---|---|---|---|
| Apr 13, 2019 | Rudar(home) | 0-4 | 1. SNL |
| Apr 10, 2019 | NK Domzale(away) | 1-6 | 1. SNL |
| Apr 6, 2019 | Maribor(home) | 1-2 | 1. SNL |
| Mar 31, 2019 | Krško(away) | 3-1 | 1. SNL |
| Mar 16, 2019 | Celje(away) | 0-4 | 1. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2019 | Celje(away) | 2-0 | 1. SNL |
| Apr 11, 2019 | Olimpija Ljubljana(home) | 0-0 | 1. SNL |
| Apr 7, 2019 | Gorica(away) | 1-0 | 1. SNL |
| Mar 31, 2019 | Aluminij(home) | 3-0 | 1. SNL |
| Mar 16, 2019 | Krško(home) | 5-0 | 1. SNL |
What does the head-to-head say?
Across the last 3 meetings: 1 Triglav win(s), 2 draw(s), 0 Mura win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 9, 2018 | Mura 0-0 Triglav | 1. SNL |
| Sep 27, 2018 | Triglav 3-0 Mura | 1. SNL |
| Jul 21, 2018 | Mura 1-1 Triglav | 1. SNL |
How many goals should we expect?
Triglav score 1.3 and concede 2.5 goals per match over their last 15; Mura score 1.3 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Triglav | 1.3 | 2.5 | 2 | 10/15 | 13/15 |
| Mura | 1.3 | 0.5 | 9 | 3/15 | 4/15 |
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