FK Mladost Podgorica vs Berane: result 1-0 and analysis
Second LeagueRegular Season - 24Kick-off on March 26, 2022 at 02:00 PM (UTC)Stadion FK Mladost, Podgorica
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What was the result of FK Mladost Podgorica vs Berane?
FK Mladost Podgorica won 1-0 on March 26, 2022.
Goalscorers
- 77′?FK Mladost Podgorica
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Mladost Podgorica have 2 wins, 2 draws and 11 defeats; Berane have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 20, 2022 | Kom(away) | 1-1 | Second League |
| Mar 16, 2022 | Arsenal Tivat(home) | 1-1 | Second League |
| Mar 12, 2022 | Mladost DG(home) | 1-3 | Second League |
| Mar 6, 2022 | Igalo(away) | 0-1 | Second League |
| Dec 4, 2021 | Bokelj(home) | 0-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 20, 2022 | Igalo(home) | 1-0 | Second League |
| Mar 16, 2022 | Bokelj(away) | 0-0 | Second League |
| Mar 12, 2022 | Jedinstvo(home) | 0-3 | Second League |
| Mar 6, 2022 | Grbalj(away) | 1-1 | Second League |
| Dec 2, 2021 | Cetinje(home) | 5-1 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 0 FK Mladost Podgorica win(s), 0 draw(s), 2 Berane win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2021 | Berane 2-0 FK Mladost Podgorica | Second League |
| Sep 19, 2021 | FK Mladost Podgorica 1-2 Berane | Second League |
Last archived meeting: Berane vs FK Mladost Podgorica on Nov 10, 2021
How many goals should we expect?
FK Mladost Podgorica score 0.7 and concede 2.0 goals per match over their last 15; Berane score 0.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Mladost Podgorica | 0.7 | 2.0 | 2 | 4/15 | 6/15 |
| Berane | 0.8 | 1.4 | 4 | 4/15 | 6/15 |
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 | Berane | 2 | 0 | 0 | 2 | 0 | 2 | 0 |
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