Grbalj vs Berane: result 0-1 and analysis
Second LeagueRegular Season - 12Kick-off on October 25, 2020 at 12:30 PM (UTC)Stadion Donja Sutvara, Radanovići
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What was the result of Grbalj vs Berane?
Berane won 0-1 on October 25, 2020.
Goalscorers
- 55′?Berane
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grbalj have 3 wins, 2 draws and 10 defeats; Berane have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2020 | Arsenal Tivat(home) | 0-4 | Cup |
| Oct 18, 2020 | Bokelj(away) | 1-0 | Second League |
| Oct 11, 2020 | Mornar(home) | 2-3 | Second League |
| Oct 7, 2020 | Drezga(home) | 1-1 | Second League |
| Oct 3, 2020 | Ibar(away) | 0-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2020 | Jedinstvo(home) | 3-1 | Second League |
| Oct 11, 2020 | Bokelj(home) | 1-1 | Second League |
| Oct 7, 2020 | Mornar(home) | 3-0 | Second League |
| Oct 3, 2020 | Drezga(away) | 1-0 | Second League |
| Sep 27, 2020 | Ibar(home) | 1-0 | Second League |
What does the head-to-head say?
Across the last 1 meetings: 1 Grbalj win(s), 0 draw(s), 0 Berane win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 6, 2020 | Berane 0-3 Grbalj | Second League |
How many goals should we expect?
Grbalj score 0.6 and concede 1.5 goals per match over their last 15; Berane score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grbalj | 0.6 | 1.5 | 3 | 3/15 | 3/15 |
| Berane | 1.1 | 1.5 | 5 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Grbalj sit 3rd in Second League (4 points from 2 matches) and Berane sit 9th (0 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Grbalj | 2 | 1 | 1 | 0 | 3 | 2 | 4 |
| 9 | Berane | 2 | 0 | 0 | 2 | 0 | 2 | 0 |
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