Mladost DG vs Igalo: result 1-1 and analysis
Second LeagueRegular Season - 10Kick-off on October 13, 2021 at 03:30 PM (UTC)DG Arena, Podgorica
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What was the result of Mladost DG vs Igalo?
Mladost DG and Igalo drew 1-1 on October 13, 2021.
Goalscorers
- 27′?Igalo
- 43′Ž. KrstovićMladost DG (pen.)
What is the recent form of both teams?
Over their last 9 matches in all competitions, Mladost DG have 4 wins, 2 draws and 3 defeats; Igalo have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Berane(away) | 2-1 | Second League |
| Oct 3, 2021 | Bokelj(home) | 2-1 | Second League |
| Sep 26, 2021 | Kom(away) | 1-3 | Second League |
| Sep 19, 2021 | Jedinstvo(home) | 1-1 | Second League |
| Sep 15, 2021 | Grbalj(home) | 2-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Bokelj(away) | 0-1 | Second League |
| Oct 3, 2021 | Jedinstvo(home) | 0-1 | Second League |
| Sep 26, 2021 | Grbalj(away) | 2-2 | Second League |
| Sep 19, 2021 | Cetinje(home) | 3-0 | Second League |
| Sep 12, 2021 | Berane(away) | 2-3 | Second League |
What does the head-to-head say?
In the last meeting: 1 Mladost DG win, 0 draws, 0 Igalo wins.
| Date | Score | Competition |
|---|---|---|
| Aug 15, 2021 | Igalo 1-2 Mladost DG | Second League |
How many goals should we expect?
Mladost DG score 1.3 and concede 1.3 goals per match over their last 9; Igalo score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mladost DG | 1.3 | 1.3 | 1 | 7/9 | 6/9 |
| Igalo | 1.5 | 1.3 | 3 | 7/15 | 9/15 |
Over the last 9 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 |
A question about Mladost DG vs Igalo?
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