Kom vs Berane: result 1-0 and analysis
Second LeagueRegular Season - 15Kick-off on November 4, 2018 at 12:00 PM (UTC)Stadion FK Kom, Podgorica
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What was the result of Kom vs Berane?
Kom won 1-0 on November 4, 2018.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Kom have 5 wins, 5 draws and 4 defeats; Berane have 1, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2018 | Arsenal Tivat(home) | 3-2 | Second League |
| Oct 21, 2018 | Otrant-Olympic(away) | 1-2 | Second League |
| Oct 14, 2018 | Dečić(home) | 1-0 | Second League |
| Oct 7, 2018 | Jedinstvo(away) | 0-0 | Second League |
| Sep 30, 2018 | Mladost Lješkopolje(home) | 2-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2018 | Mladost Lješkopolje(home) | 0-0 | Second League |
| Oct 21, 2018 | Arsenal Tivat(away) | 0-2 | Second League |
| Oct 14, 2018 | Bokelj(home) | 0-6 | Second League |
| Oct 7, 2018 | Otrant-Olympic(away) | 3-5 | Second League |
| Sep 30, 2018 | Igalo(home) | 0-2 | Second League |
What does the head-to-head say?
Across the last 1 meetings: 1 Kom win(s), 0 draw(s), 0 Berane win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 9, 2018 | Berane 0-1 Kom | Second League |
How many goals should we expect?
Kom score 0.9 and concede 0.9 goals per match over their last 14; Berane score 0.6 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kom | 0.9 | 0.9 | 8 | 4/14 | 4/14 |
| Berane | 0.6 | 2.8 | 1 | 5/14 | 7/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Kom sit 10th in Second League (0 points from 2 matches) and Berane sit 9th (0 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Berane | 2 | 0 | 0 | 2 | 0 | 2 | 0 |
| 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