Kom vs Nikšić: prediction and stats
Second LeagueRegular Season - 24Kick-off on March 29, 2023 at 03:00 PM (UTC)Stadion FK Kom, Podgorica
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kom have 7 wins, 2 draws and 6 defeats; Nikšić have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2023 | Igalo(away) | 1-2 | Second League |
| Mar 18, 2023 | Berane(home) | 0-1 | Second League |
| Mar 11, 2023 | Mladost DG(away) | 1-3 | Second League |
| Mar 5, 2023 | Otrant-Olympic(home) | 1-2 | Second League |
| Dec 3, 2022 | Bokelj(home) | 0-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 3, 2022 | Igalo(away) | 1-3 | Second League |
| Nov 27, 2022 | Berane(away) | 1-3 | Second League |
| Nov 20, 2022 | Mladost DG(home) | 0-0 | Second League |
| Nov 12, 2022 | Otrant-Olympic(away) | 2-0 | Second League |
| Nov 5, 2022 | Kom(home) | 1-3 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 1 Kom win, 1 draw, 0 Nikšić wins.
| Date | Score | Competition |
|---|---|---|
| Nov 5, 2022 | Nikšić 1-3 Kom | Second League |
| Sep 18, 2022 | Kom 0-0 Nikšić | Second League |
How many goals should we expect?
Kom score 1.4 and concede 1.2 goals per match over their last 15; Nikšić score 0.8 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kom | 1.4 | 1.2 | 4 | 8/15 | 8/15 |
| Nikšić | 0.8 | 1.6 | 5 | 6/15 | 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 Nikšić?
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