Grbalj vs Igalo: result 0-2 and analysis
Second LeagueRegular Season - 25Kick-off on April 4, 2021 at 01:30 PM (UTC)Stadion Donja Sutvara, Radanovići
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What was the result of Grbalj vs Igalo?
Igalo won 0-2 on April 4, 2021.
Goalscorers
- 51′?Igalo
- 75′?Igalo
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grbalj have 6 wins, 2 draws and 7 defeats; Igalo have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2021 | Arsenal Tivat(away) | 1-2 | Second League |
| Mar 27, 2021 | Kom(home) | 1-0 | Second League |
| Mar 21, 2021 | Jedinstvo(away) | 1-3 | Second League |
| Mar 13, 2021 | Berane(away) | 0-2 | Second League |
| Mar 7, 2021 | Bokelj(home) | 0-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2021 | Berane(home) | 4-0 | Second League |
| Mar 27, 2021 | Bokelj(away) | 1-1 | Second League |
| Mar 21, 2021 | Mornar(home) | 1-0 | Second League |
| Mar 13, 2021 | Drezga(away) | 1-1 | Second League |
| Mar 7, 2021 | Ibar(home) | 1-0 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 1 Grbalj win, 0 draws, 1 Igalo win.
| Date | Score | Competition |
|---|---|---|
| Nov 15, 2020 | Igalo 0-2 Grbalj | Second League |
| Sep 27, 2020 | Grbalj 0-2 Igalo | Second League |
How many goals should we expect?
Grbalj score 0.8 and concede 1.2 goals per match over their last 15; Igalo score 1.3 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grbalj | 0.8 | 1.2 | 6 | 4/15 | 4/15 |
| Igalo | 1.3 | 0.5 | 9 | 4/15 | 2/15 |
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 Igalo?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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