Nikšić vs Igalo: result 1-1 and analysis
Second LeagueRegular Season - 10Kick-off on October 9, 2022 at 01:00 PM (UTC)Stadion Čelika, Nikšić
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What was the result of Nikšić vs Igalo?
Nikšić and Igalo drew 1-1 on October 9, 2022.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Nikšić have 2 wins, 2 draws and 5 defeats; Igalo have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2022 | Berane(home) | 0-2 | Second League |
| Sep 28, 2022 | Mladost DG(away) | 0-5 | Second League |
| Sep 24, 2022 | Otrant-Olympic(home) | 2-0 | Second League |
| Sep 18, 2022 | Kom(away) | 0-0 | Second League |
| Sep 11, 2022 | Mladost Lješkopolje(home) | 2-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2022 | Bokelj(home) | 0-1 | Second League |
| Sep 28, 2022 | Berane(away) | 1-2 | Second League |
| Sep 24, 2022 | Mladost DG(home) | 0-0 | Second League |
| Sep 18, 2022 | Otrant-Olympic(away) | 1-1 | Second League |
| Sep 11, 2022 | Kom(home) | 1-1 | Second League |
What does the head-to-head say?
In the last meeting: 0 Nikšić wins, 0 draws, 1 Igalo win.
| Date | Score | Competition |
|---|---|---|
| Aug 17, 2022 | Igalo 1-0 Nikšić | Second League |
How many goals should we expect?
Nikšić score 0.9 and concede 1.8 goals per match over their last 9; Igalo score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nikšić | 0.9 | 1.8 | 2 | 4/9 | 5/9 |
| Igalo | 0.9 | 1.3 | 4 | 6/15 | 6/15 |
Over the last 9 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.
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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