Mladost DG vs Igalo: result 1-0 and analysis
Second LeagueRegular Season - 28Kick-off on April 13, 2022 at 02:00 PM (UTC)DG Arena, Podgorica
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What was the result of Mladost DG vs Igalo?
Mladost DG won 1-0 on April 13, 2022.
Goalscorers
- 88′?Mladost DG (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mladost DG have 5 wins, 6 draws and 4 defeats; Igalo have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2022 | Bokelj(home) | 1-1 | Second League |
| Mar 30, 2022 | Kom(away) | 0-0 | Second League |
| Mar 26, 2022 | Jedinstvo(home) | 0-0 | Second League |
| Mar 20, 2022 | Arsenal Tivat(away) | 2-3 | Second League |
| Mar 16, 2022 | Grbalj(home) | 2-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2022 | Bokelj(away) | 1-1 | Second League |
| Apr 3, 2022 | Jedinstvo(home) | 1-2 | Second League |
| Mar 30, 2022 | Grbalj(away) | 0-1 | Second League |
| Mar 26, 2022 | Cetinje(home) | 1-1 | Second League |
| Mar 20, 2022 | Berane(away) | 0-1 | Second League |
What does the head-to-head say?
Across the last 3 meetings: 2 Mladost DG win(s), 1 draw(s), 0 Igalo win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 2, 2021 | Igalo 0-2 Mladost DG | Second League |
| Oct 13, 2021 | Mladost DG 1-1 Igalo | Second League |
| Aug 15, 2021 | Igalo 1-2 Mladost DG | Second League |
How many goals should we expect?
Mladost DG score 1.3 and concede 1.5 goals per match over their last 15; Igalo score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mladost DG | 1.3 | 1.5 | 5 | 10/15 | 7/15 |
| Igalo | 0.9 | 1.2 | 4 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Igalo | 36 | 8 | 8 | 20 | 21 | 58 | 32 |
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