Zeta vs Nikšić: prediction and stats
Second LeagueRegular Season - 22Kick-off on March 19, 2023 at 04:00 PM (UTC)Stadion Trešnjica, Golubovci
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zeta have 5 wins, 2 draws and 8 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 11, 2023 | Igalo(away) | 1-1 | Second League |
| Mar 5, 2023 | Berane(home) | 1-0 | Second League |
| Dec 3, 2022 | Mladost DG(away) | 4-0 | Second League |
| Nov 27, 2022 | Otrant-Olympic(away) | 1-2 | Second League |
| Nov 20, 2022 | Kom(home) | 0-2 | 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 Zeta win, 0 draws, 1 Nikšić win.
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2022 | Nikšić 1-0 Zeta | Second League |
| Sep 3, 2022 | Zeta 3-1 Nikšić | Second League |
How many goals should we expect?
Zeta score 1.1 and concede 1.3 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 |
|---|---|---|---|---|---|
| Zeta | 1.1 | 1.3 | 4 | 6/15 | 6/15 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Zeta | 11 | 5 | 3 | 3 | 16 | 13 | 18 |
A question about Zeta 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