Kom vs Cetinje: result 4-1 and analysis
Second LeagueRegular Season - 18Kick-off on November 28, 2021 at 12:00 PM (UTC)Stadion FK Kom, Podgorica
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What was the result of Kom vs Cetinje?
Kom won 4-1 on November 28, 2021.
Goalscorers
- 19′?Kom
- 26′?Cetinje
- 34′?Kom
- 52′M. KažićKom
- 67′?Kom
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kom have 5 wins, 3 draws and 7 defeats; Cetinje have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 25, 2021 | Mladost DG(away) | 1-1 | Second League |
| Nov 21, 2021 | Berane(away) | 0-1 | Second League |
| Nov 10, 2021 | Arsenal Tivat(home) | 1-1 | Second League |
| Nov 6, 2021 | FK Mladost Podgorica(away) | 1-0 | Second League |
| Oct 31, 2021 | Igalo(home) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2021 | Arsenal Tivat(home) | 0-1 | Second League |
| Nov 14, 2021 | FK Mladost Podgorica(away) | 0-4 | Second League |
| Nov 10, 2021 | Igalo(home) | 0-2 | Second League |
| Nov 6, 2021 | Bokelj(away) | 0-1 | Second League |
| Oct 31, 2021 | Jedinstvo(home) | 0-4 | Second League |
What does the head-to-head say?
In the last meeting: 0 Kom wins, 0 draws, 1 Cetinje win.
| Date | Score | Competition |
|---|---|---|
| Oct 9, 2021 | Cetinje 3-2 Kom | Second League |
How many goals should we expect?
Kom score 1.1 and concede 1.3 goals per match over their last 15; Cetinje score 0.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kom | 1.1 | 1.3 | 2 | 7/15 | 7/15 |
| Cetinje | 0.6 | 1.6 | 3 | 2/15 | 5/15 |
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 Kom vs Cetinje?
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