Bokelj vs Kom: result 2-0 and analysis
Second LeagueRegular Season - 36Kick-off on May 25, 2019 at 03:30 PM (UTC)Stadion pod Vrmcem, Kotor
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What was the result of Bokelj vs Kom?
Bokelj won 2-0 on May 25, 2019.
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; Kom 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 |
|---|---|---|---|
| May 19, 2019 | Arsenal Tivat(away) | 2-2 | Second League |
| May 12, 2019 | Otrant-Olympic(home) | 3-1 | Second League |
| May 8, 2019 | Dečić(away) | 0-1 | Second League |
| May 5, 2019 | Jedinstvo(home) | 3-0 | Second League |
| Apr 28, 2019 | Mladost Lješkopolje(away) | 2-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2019 | Igalo(home) | 2-0 | Second League |
| May 12, 2019 | Jezero(away) | 1-1 | Second League |
| May 8, 2019 | Berane(home) | 2-1 | Second League |
| May 5, 2019 | Arsenal Tivat(home) | 1-0 | Second League |
| Apr 28, 2019 | Otrant-Olympic(away) | 0-0 | Second League |
What does the head-to-head say?
Across the last 3 meetings: 1 Bokelj win(s), 0 draw(s), 2 Kom win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 7, 2019 | Kom 2-1 Bokelj | Second League |
| Dec 5, 2018 | Bokelj 1-2 Kom | Second League |
| Sep 23, 2018 | Kom 0-2 Bokelj | Second League |
How many goals should we expect?
Bokelj score 1.2 and concede 0.9 goals per match over their last 15; Kom score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bokelj | 1.2 | 0.9 | 6 | 6/15 | 6/15 |
| Kom | 1.5 | 0.7 | 8 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Kom | 2 | 0 | 0 | 2 | 2 | 5 | 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