Nikšić vs Otrant-Olympic: prediction and stats
Second LeagueRegular Season - 25Kick-off on April 2, 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; Otrant-Olympic have 5, 2 and 8.
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 |
|---|---|---|---|
| Mar 29, 2023 | Igalo(home) | 2-0 | Second League |
| Mar 25, 2023 | Berane(away) | 1-0 | Second League |
| Mar 18, 2023 | Mladost DG(home) | 0-1 | Second League |
| Mar 11, 2023 | Bokelj(home) | 1-1 | Second League |
| Mar 5, 2023 | Kom(away) | 2-1 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 2 Nikšić wins, 0 draws, 0 Otrant-Olympic wins.
| Date | Score | Competition |
|---|---|---|
| Nov 12, 2022 | Otrant-Olympic 0-2 Nikšić | Second League |
| Sep 24, 2022 | Nikšić 2-0 Otrant-Olympic | Second League |
Last archived meeting: Otrant-Olympic vs Nikšić on Nov 12, 2022
How many goals should we expect?
Nikšić score 0.8 and concede 1.6 goals per match over their last 15; Otrant-Olympic score 0.9 and concede 1.7.
| 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 |
| Otrant-Olympic | 0.9 | 1.7 | 3 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Otrant-Olympic | 36 | 23 | 5 | 8 | 81 | 31 | 74 |
A question about Nikšić vs Otrant-Olympic?
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