Bokelj vs Jezero: result 1-0 and analysis
Second LeagueRegular Season - 20Kick-off on March 1, 2020 at 01:00 PM (UTC)Stadion pod Vrmcem, Kotor
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What was the result of Bokelj vs Jezero?
Bokelj won 1-0 on March 1, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bokelj have 6 wins, 4 draws and 5 defeats; Jezero have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 5, 2019 | Mornar(home) | 0-0 | Second League |
| Dec 1, 2019 | Lovćen(away) | 2-0 | Second League |
| Nov 24, 2019 | Arsenal Tivat(home) | 0-0 | Second League |
| Nov 17, 2019 | Otrant-Olympic(away) | 4-0 | Second League |
| Nov 3, 2019 | Ibar(away) | 1-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 5, 2019 | Drezga(away) | 2-2 | Second League |
| Dec 1, 2019 | Arsenal Tivat(away) | 0-0 | Second League |
| Nov 24, 2019 | Mornar(away) | 1-1 | Second League |
| Nov 17, 2019 | Dečić(home) | 1-2 | Second League |
| Nov 3, 2019 | Lovćen(home) | 1-1 | Second League |
What does the head-to-head say?
Across the last 6 meetings: 1 Bokelj win(s), 3 draw(s), 2 Jezero win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2019 | Jezero 0-0 Bokelj | Second League |
| Aug 18, 2019 | Bokelj 0-1 Jezero | Second League |
| Apr 14, 2019 | Jezero 1-0 Bokelj | Second League |
| Dec 2, 2018 | Bokelj 0-0 Jezero | Second League |
| Sep 30, 2018 | Jezero 1-1 Bokelj | Second League |
| Aug 12, 2018 | Bokelj 3-0 Jezero | Second League |
How many goals should we expect?
Bokelj score 1.3 and concede 0.8 goals per match over their last 15; Jezero score 1.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bokelj | 1.3 | 0.8 | 6 | 5/15 | 6/15 |
| Jezero | 1.4 | 1.0 | 6 | 8/15 | 9/15 |
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