Mladost Lješkopolje vs Jedinstvo: result 0-0 and analysis
Second LeagueMatchday 6Kick-off on September 9, 2018 at 02:00 PM (UTC)DG Arena, Podgorica
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What was the result of Mladost Lješkopolje vs Jedinstvo?
Mladost Lješkopolje and Jedinstvo drew 0-0 on September 9, 2018.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Mladost Lješkopolje have 3 wins, 1 draw and 1 defeat; Jedinstvo have 1, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2018 | Berane(home) | 2-1 | Second League |
| Sep 2, 2018 | Bokelj(away) | 2-4 | Second League |
| Aug 26, 2018 | Igalo(home) | 3-1 | Second League |
| Aug 19, 2018 | Jezero(away) | 0-0 | Second League |
| Aug 12, 2018 | Kom(home) | 3-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2018 | Bokelj(home) | 0-0 | Second League |
| Sep 2, 2018 | Igalo(away) | 0-1 | Second League |
| Aug 26, 2018 | Jezero(home) | 3-2 | Second League |
| Aug 19, 2018 | Kom(away) | 0-1 | Second League |
| Aug 12, 2018 | Arsenal Tivat(home) | 1-1 | Second League |
How many goals should we expect?
Mladost Lješkopolje score 2.0 and concede 1.6 goals per match over their last 5; Jedinstvo score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mladost Lješkopolje | 2.0 | 1.6 | 1 | 4/5 | 4/5 |
| Jedinstvo | 0.8 | 1.0 | 1 | 2/5 | 1/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Mladost Lješkopolje sit 2nd in Second League (31 points from 16 matches) and Jedinstvo sit 1st (32 points from 16 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Jedinstvo | 16 | 10 | 2 | 4 | 29 | 15 | 32 |
| 2 | Mladost Lješkopolje | 16 | 8 | 7 | 1 | 27 | 16 | 31 |
A question about Mladost Lješkopolje vs Jedinstvo?
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