Bokelj vs Mladost DG: result 0-0 and analysis
Second LeagueRegular Season - 14Kick-off on October 30, 2022 at 01:00 PM (UTC)Stadion pod Vrmcem, Kotor
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What was the result of Bokelj vs Mladost DG?
Bokelj and Mladost DG drew 0-0 on October 30, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bokelj have 9 wins, 3 draws and 3 defeats; Mladost DG have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2022 | Grbalj(away) | 1-0 | Second League |
| Oct 16, 2022 | Otrant-Olympic(home) | 4-0 | Second League |
| Oct 12, 2022 | Nikšić(away) | 2-0 | Second League |
| Oct 9, 2022 | Kom(home) | 1-0 | Second League |
| Oct 2, 2022 | Igalo(away) | 1-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2022 | Otrant-Olympic(home) | 3-0 | Second League |
| Oct 16, 2022 | Kom(away) | 2-3 | Second League |
| Oct 12, 2022 | Mladost Lješkopolje(home) | 0-1 | Second League |
| Oct 9, 2022 | Zeta(away) | 2-0 | Second League |
| Oct 2, 2022 | Grbalj(away) | 3-2 | Second League |
What does the head-to-head say?
Across the last 5 meetings: 0 Bokelj win(s), 4 draw(s), 1 Mladost DG win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2022 | Mladost DG 0-0 Bokelj | Second League |
| May 20, 2022 | Bokelj 1-1 Mladost DG | Second League |
| Apr 3, 2022 | Mladost DG 1-1 Bokelj | Second League |
| Nov 21, 2021 | Bokelj 1-1 Mladost DG | Second League |
| Oct 3, 2021 | Mladost DG 2-1 Bokelj | Second League |
How many goals should we expect?
Bokelj score 1.5 and concede 0.8 goals per match over their last 15; Mladost DG score 2.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bokelj | 1.5 | 0.8 | 7 | 6/15 | 7/15 |
| Mladost DG | 2.1 | 1.1 | 6 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
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