Triglav vs Maribor: result 1-2 and analysis
1. SNLRegular Season - 25Kick-off on April 6, 2019 at 02:30 PM (UTC)Športni Center Stanko Mlakar, Kranj
Full time
What was the result of Triglav vs Maribor?
Maribor won 1-2 on April 6, 2019.
Goalscorers
- 14′L. ZahovićMaribor
- 52′L. MajcenTriglav
- 59′J. MlakarMaribor
What is the recent form of both teams?
Over their last 15 matches in all competitions, Triglav have 6 wins, 1 draw and 8 defeats; Maribor have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2019 | Krško(away) | 3-1 | 1. SNL |
| Mar 16, 2019 | Celje(away) | 0-4 | 1. SNL |
| Mar 9, 2019 | Olimpija Ljubljana(home) | 2-1 | 1. SNL |
| Mar 3, 2019 | Gorica(away) | 2-1 | 1. SNL |
| Feb 24, 2019 | Aluminij(home) | 3-0 | 1. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | Celje(home) | 1-1 | 1. SNL |
| Mar 16, 2019 | Olimpija Ljubljana(away) | 0-0 | 1. SNL |
| Mar 9, 2019 | Gorica(home) | 2-1 | 1. SNL |
| Mar 3, 2019 | Aluminij(away) | 1-0 | 1. SNL |
| Feb 23, 2019 | Mura(home) | 1-1 | 1. SNL |
What does the head-to-head say?
Across the last 2 meetings: 0 Triglav wins, 0 draws, 2 Maribor wins.
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2018 | Maribor 4-1 Triglav | 1. SNL |
| Sep 2, 2018 | Triglav 1-5 Maribor | 1. SNL |
How many goals should we expect?
Triglav score 1.5 and concede 2.1 goals per match over their last 15; Maribor score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Triglav | 1.5 | 2.1 | 3 | 9/15 | 12/15 |
| Maribor | 2.1 | 0.9 | 6 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Maribor | 11 | 6 | 5 | 0 | 21 | 9 | 23 |
A question about Triglav vs Maribor?
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