Mornar vs Grbalj: result 2-4 and analysis
First LeagueRegular Season - 27Kick-off on April 3, 2019 at 01:30 PM (UTC)Stadion SRC Topolica, Bar
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What was the result of Mornar vs Grbalj?
Grbalj won 2-4 on April 3, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mornar have 1 win, 6 draws and 8 defeats; Grbalj have 4, 9 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | Zeta(away) | 0-2 | First League |
| Mar 17, 2019 | FK Mladost Podgorica(home) | 0-3 | First League |
| Mar 13, 2019 | Iskra(away) | 1-1 | First League |
| Mar 8, 2019 | Rudar(home) | 0-0 | First League |
| Mar 2, 2019 | Petrovac(away) | 1-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | Sutjeska(home) | 0-0 | First League |
| Mar 17, 2019 | Buducnost Podgorica(home) | 1-1 | First League |
| Mar 13, 2019 | Zeta(away) | 0-1 | First League |
| Mar 9, 2019 | FK Mladost Podgorica(home) | 1-0 | First League |
| Mar 2, 2019 | Iskra(away) | 1-1 | First League |
What does the head-to-head say?
Across the last 2 meetings: 0 Mornar wins, 1 draw, 1 Grbalj win.
| Date | Score | Competition |
|---|---|---|
| Dec 5, 2018 | Grbalj 2-0 Mornar | First League |
| Sep 23, 2018 | Mornar 1-1 Grbalj | First League |
How many goals should we expect?
Mornar score 0.4 and concede 1.4 goals per match over their last 15; Grbalj score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mornar | 0.4 | 1.4 | 4 | 5/15 | 4/15 |
| Grbalj | 1.1 | 0.9 | 6 | 7/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Mornar | 10 | 3 | 5 | 2 | 12 | 10 | 14 |
A question about Mornar vs Grbalj?
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