Dečić vs Kom: result 1-2 and analysis
Second LeagueRegular Season - 21Kick-off on March 10, 2019 at 01:30 PM (UTC)Stadion Tuško Polje, Tuzi
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What was the result of Dečić vs Kom?
Kom won 1-2 on March 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dečić have 7 wins, 3 draws and 5 defeats; Kom have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2019 | Arsenal Tivat(away) | 0-5 | Second League |
| Dec 2, 2018 | Otrant-Olympic(home) | 1-0 | Second League |
| Nov 25, 2018 | Berane(away) | 4-0 | Second League |
| Nov 18, 2018 | Jedinstvo(home) | 0-0 | Second League |
| Nov 11, 2018 | Mladost Lješkopolje(away) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2019 | Jedinstvo(home) | 0-0 | Second League |
| Dec 5, 2018 | Bokelj(away) | 2-1 | Second League |
| Dec 2, 2018 | Mladost Lješkopolje(away) | 1-1 | Second League |
| Nov 18, 2018 | Igalo(home) | 1-0 | Second League |
| Nov 11, 2018 | Jezero(away) | 1-2 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 0 Dečić wins, 1 draw, 1 Kom win.
| Date | Score | Competition |
|---|---|---|
| Oct 14, 2018 | Kom 1-0 Dečić | Second League |
| Aug 26, 2018 | Dečić 0-0 Kom | Second League |
How many goals should we expect?
Dečić score 1.4 and concede 1.0 goals per match over their last 15; Kom score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dečić | 1.4 | 1.0 | 7 | 4/15 | 7/15 |
| Kom | 0.9 | 0.7 | 9 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Kom | 10 | 4 | 3 | 3 | 14 | 11 | 15 |
A question about Dečić vs Kom?
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