Grbalj vs Mornar: result 2-0 and analysis
First LeagueRegular Season - 18Kick-off on December 5, 2018 at 12:00 PM (UTC)Stadion Donja Sutvara, Radanovići
Full time
What was the result of Grbalj vs Mornar?
Grbalj won 2-0 on December 5, 2018.
Goalscorers
- 15′Petar VukčevićGrbalj (pen.)
- 90′V. KordićGrbalj
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grbalj have 3 wins, 7 draws and 5 defeats; Mornar have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2018 | Sutjeska(away) | 0-3 | First League |
| Nov 24, 2018 | Buducnost Podgorica(away) | 1-1 | First League |
| Nov 10, 2018 | Zeta(home) | 1-1 | First League |
| Nov 3, 2018 | FK Mladost Podgorica(away) | 2-0 | First League |
| Oct 27, 2018 | Iskra(home) | 0-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2018 | Zeta(home) | 0-0 | First League |
| Nov 24, 2018 | FK Mladost Podgorica(away) | 0-1 | First League |
| Nov 10, 2018 | Iskra(home) | 1-1 | First League |
| Nov 3, 2018 | Rudar(away) | 1-1 | First League |
| Oct 27, 2018 | Petrovac(home) | 0-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Grbalj win(s), 1 draw(s), 0 Mornar win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 23, 2018 | Mornar 1-1 Grbalj | First League |
How many goals should we expect?
Grbalj score 0.9 and concede 0.7 goals per match over their last 15; Mornar score 0.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grbalj | 0.9 | 0.7 | 7 | 3/15 | 3/15 |
| Mornar | 0.5 | 1.2 | 2 | 5/15 | 1/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Mornar | 4 | 2 | 2 | 0 | 5 | 3 | 8 |
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