Grbalj vs Sutjeska: result 0-0 and analysis
First LeagueRegular Season - 26Kick-off on March 30, 2019 at 02:30 PM (UTC)Stadion Donja Sutvara, Radanovići
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What was the result of Grbalj vs Sutjeska?
Grbalj and Sutjeska drew 0-0 on March 30, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grbalj have 5 wins, 8 draws and 2 defeats; Sutjeska have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Feb 26, 2019 | Rudar(home) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2019 | Zeta(home) | 1-0 | First League |
| Mar 13, 2019 | FK Mladost Podgorica(away) | 1-0 | First League |
| Mar 9, 2019 | Iskra(home) | 2-0 | First League |
| Mar 2, 2019 | Rudar(away) | 1-1 | First League |
| Feb 26, 2019 | Petrovac(home) | 2-1 | First League |
What does the head-to-head say?
Across the last 2 meetings: 0 Grbalj win(s), 0 draw(s), 2 Sutjeska win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 1, 2018 | Sutjeska 3-0 Grbalj | First League |
| Sep 19, 2018 | Grbalj 0-1 Sutjeska | First League |
How many goals should we expect?
Grbalj score 1.3 and concede 0.9 goals per match over their last 15; Sutjeska score 1.7 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grbalj | 1.3 | 0.9 | 6 | 7/15 | 4/15 |
| Sutjeska | 1.7 | 0.5 | 8 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Sutjeska | 4 | 0 | 1 | 3 | 1 | 6 | 1 |
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