Sutjeska vs Mladost DG: result 3-3 and analysis
First LeagueRegular Season - 7Kick-off on September 3, 2023 at 06:00 PM (UTC)Stadion Kraj Bistrice, Nikšić
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What was the result of Sutjeska vs Mladost DG?
Sutjeska and Mladost DG drew 3-3 on September 3, 2023.
Goalscorers
- 46′Đ. ŠaletićSutjeska
- 70′M. MatanovićSutjeska
- 77′B. DošljakMladost DG
- 87′Abdulsamed Ahmed AbdullahiMladost DG
- 90′D. GrivićSutjeska
- 90′Bogdan MilićMladost DG
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sutjeska have 4 wins, 7 draws and 4 defeats; Mladost DG have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2023 | Dečić(away) | 0-1 | Cup |
| Aug 26, 2023 | Petrovac(away) | 1-1 | First League |
| Aug 20, 2023 | Buducnost Podgorica(home) | 1-2 | First League |
| Aug 13, 2023 | Jedinstvo(away) | 0-0 | First League |
| Aug 6, 2023 | Arsenal Tivat(home) | 2-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2023 | Bokelj(home) | 1-2 | Cup |
| Aug 25, 2023 | Jezero(home) | 1-2 | First League |
| Aug 20, 2023 | Rudar(away) | 0-0 | First League |
| Aug 13, 2023 | Dečić(home) | 0-2 | First League |
| Aug 5, 2023 | Mornar(home) | 1-1 | First League |
How many goals should we expect?
Sutjeska score 0.9 and concede 1.0 goals per match over their last 15; Mladost DG score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sutjeska | 0.9 | 1.0 | 5 | 7/15 | 3/15 |
| Mladost DG | 0.9 | 1.1 | 6 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Sutjeska sit 10th in First League (1 points from 4 matches) and Mladost DG sit 8th (4 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Mladost DG | 4 | 1 | 1 | 2 | 4 | 5 | 4 |
| 10 | Sutjeska | 4 | 0 | 1 | 3 | 1 | 6 | 1 |
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