Nikšić vs Igalo: prediction and stats
Second LeagueRegular Season - 28Kick-off on April 16, 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; Igalo have 5, 4 and 6.
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 12, 2023 | Bokelj(home) | 2-1 | Second League |
| Apr 8, 2023 | Berane(away) | 0-1 | Second League |
| Apr 1, 2023 | Mladost DG(home) | 0-0 | Second League |
| Mar 29, 2023 | Otrant-Olympic(away) | 0-2 | Second League |
| Mar 25, 2023 | Kom(home) | 2-1 | Second League |
What does the head-to-head say?
Across the last 3 meetings: 0 Nikšić wins, 1 draw, 2 Igalo wins.
| Date | Score | Competition |
|---|---|---|
| Dec 3, 2022 | Igalo 3-1 Nikšić | Second League |
| Oct 9, 2022 | Nikšić 1-1 Igalo | Second League |
| Aug 17, 2022 | Igalo 1-0 Nikšić | Second League |
How many goals should we expect?
Nikšić score 0.8 and concede 1.6 goals per match over their last 15; Igalo score 1.0 and concede 1.1.
| 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 |
| Igalo | 1.0 | 1.1 | 3 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Igalo | 36 | 8 | 8 | 20 | 21 | 58 | 32 |
A question about Nikšić vs Igalo?
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