FK Mladost Podgorica vs Jedinstvo: result 1-0 and analysis
CupRound of 16Kick-off on October 27, 2021 at 12:00 PM (UTC)Stadion FK Mladost, Podgorica
Full time
What was the result of FK Mladost Podgorica vs Jedinstvo?
FK Mladost Podgorica won 1-0 on October 27, 2021.
Goalscorers
- 78′Darjan ŠušićFK Mladost Podgorica
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Mladost Podgorica have 3 wins, 1 draw and 11 defeats; Jedinstvo 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 |
|---|---|---|---|
| Oct 24, 2021 | Mladost DG(away) | 0-2 | Second League |
| Oct 17, 2021 | Igalo(home) | 0-3 | Second League |
| Oct 13, 2021 | Bokelj(away) | 0-1 | Second League |
| Oct 9, 2021 | Jedinstvo(away) | 0-3 | Second League |
| Oct 3, 2021 | Grbalj(home) | 1-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Berane(home) | 3-0 | Second League |
| Oct 17, 2021 | Kom(away) | 1-0 | Second League |
| Oct 13, 2021 | Arsenal Tivat(home) | 0-0 | Second League |
| Oct 9, 2021 | FK Mladost Podgorica(home) | 3-0 | Second League |
| Oct 3, 2021 | Igalo(away) | 1-0 | Second League |
What does the head-to-head say?
In the last meeting: 0 FK Mladost Podgorica wins, 0 draws, 1 Jedinstvo win.
| Date | Score | Competition |
|---|---|---|
| Oct 9, 2021 | Jedinstvo 3-0 FK Mladost Podgorica | Second League |
Last archived meeting: Jedinstvo vs FK Mladost Podgorica on Oct 9, 2021
How many goals should we expect?
FK Mladost Podgorica score 0.5 and concede 1.6 goals per match over their last 15; Jedinstvo score 1.4 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Mladost Podgorica | 0.5 | 1.6 | 2 | 5/15 | 7/15 |
| Jedinstvo | 1.4 | 0.6 | 10 | 4/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about FK Mladost Podgorica vs Jedinstvo?
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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