Nikšić vs Berane: prediction and stats
Second LeagueRegular Season - 27Kick-off on April 12, 2023 at 03:00 PM (UTC)
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nikšić have 3 wins, 5 draws and 7 defeats; Berane have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2023 | Igalo(home) | 1-0 | Second League |
| Apr 1, 2023 | Bokelj(home) | 1-0 | Second League |
| Mar 28, 2023 | Mladost DG(away) | 0-1 | Second League |
| Mar 25, 2023 | Otrant-Olympic(home) | 0-1 | Second League |
| Mar 18, 2023 | Kom(away) | 1-0 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 0 Nikšić wins, 0 draws, 2 Berane wins.
| Date | Score | Competition |
|---|---|---|
| Nov 27, 2022 | Berane 3-1 Nikšić | Second League |
| Oct 2, 2022 | Nikšić 0-2 Berane | Second League |
How many goals should we expect?
Nikšić score 0.8 and concede 1.6 goals per match over their last 15; Berane score 1.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nikšić | 0.8 | 1.6 | 5 | 6/15 | 5/15 |
| Berane | 1.1 | 0.5 | 9 | 2/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Berane | 11 | 0 | 2 | 9 | 7 | 25 | 2 |
A question about Nikšić vs Berane?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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