Kom vs Dečić: result 1-0 and analysis
Second LeagueRegular Season - 12Kick-off on October 14, 2018 at 12:30 PM (UTC)Stadion FK Kom, Podgorica
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What was the result of Kom vs Dečić?
Kom won 1-0 on October 14, 2018.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Kom have 3 wins, 5 draws and 3 defeats; Dečić have 4, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2018 | Jedinstvo(away) | 0-0 | Second League |
| Sep 30, 2018 | Mladost Lješkopolje(home) | 2-0 | Second League |
| Sep 23, 2018 | Bokelj(home) | 0-2 | Second League |
| Sep 19, 2018 | Igalo(away) | 0-0 | Second League |
| Sep 16, 2018 | Jezero(home) | 0-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2018 | Arsenal Tivat(home) | 0-0 | Second League |
| Sep 30, 2018 | Otrant-Olympic(away) | 2-1 | Second League |
| Sep 23, 2018 | Berane(home) | 6-1 | Second League |
| Sep 19, 2018 | Jedinstvo(away) | 1-2 | Second League |
| Sep 16, 2018 | Mladost Lješkopolje(home) | 2-0 | Second League |
What does the head-to-head say?
In the last meeting: 0 Kom wins, 1 draw, 0 Dečić wins.
| Date | Score | Competition |
|---|---|---|
| Aug 26, 2018 | Dečić 0-0 Kom | Second League |
How many goals should we expect?
Kom score 0.7 and concede 0.7 goals per match over their last 11; Dečić score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kom | 0.7 | 0.7 | 7 | 2/11 | 2/11 |
| Dečić | 1.5 | 1.2 | 3 | 6/11 | 6/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Kom | 10 | 4 | 3 | 3 | 14 | 11 | 15 |
A question about Kom vs Dečić?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy