Grbalj vs Ibar: result 1-0 and analysis
Second LeagueRegular Season - 17Kick-off on November 22, 2020 at 12:00 PM (UTC)Stadion Donja Sutvara, Radanovići
Full time
What was the result of Grbalj vs Ibar?
Grbalj won 1-0 on November 22, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grbalj have 3 wins, 3 draws and 9 defeats; Ibar have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2020 | Igalo(away) | 2-0 | Second League |
| Nov 8, 2020 | Arsenal Tivat(home) | 2-1 | Second League |
| Nov 4, 2020 | Kom(away) | 0-2 | Second League |
| Oct 31, 2020 | Jedinstvo(home) | 1-1 | Second League |
| Oct 25, 2020 | Berane(home) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2020 | Berane(home) | 0-4 | Second League |
| Nov 8, 2020 | Bokelj(away) | 1-1 | Second League |
| Nov 4, 2020 | Mornar(home) | 0-0 | Second League |
| Oct 31, 2020 | Drezga(away) | 0-3 | Second League |
| Oct 25, 2020 | Jedinstvo(away) | 0-5 | Second League |
What does the head-to-head say?
In the last meeting: 0 Grbalj wins, 0 draws, 1 Ibar win.
| Date | Score | Competition |
|---|---|---|
| Oct 3, 2020 | Ibar 2-0 Grbalj | Second League |
How many goals should we expect?
Grbalj score 0.7 and concede 1.5 goals per match over their last 15; Ibar score 0.6 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grbalj | 0.7 | 1.5 | 2 | 5/15 | 3/15 |
| Ibar | 0.6 | 2.1 | 4 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Grbalj | 10 | 4 | 4 | 2 | 13 | 9 | 16 |
A question about Grbalj vs Ibar?
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