Iskra vs Petrovac: result 2-1 and analysis
First LeagueRegular Season - 26Kick-off on March 30, 2019 at 02:30 PM (UTC)Stadion Braća Velašević, Danilovgrad
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What was the result of Iskra vs Petrovac?
Iskra won 2-1 on March 30, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Iskra have 3 wins, 7 draws and 5 defeats; Petrovac have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2019 | Lovćen(away) | 2-1 | First League |
| Mar 13, 2019 | Mornar(home) | 1-1 | First League |
| Mar 9, 2019 | Sutjeska(away) | 0-2 | First League |
| Mar 2, 2019 | Grbalj(home) | 1-1 | First League |
| Feb 26, 2019 | Zeta(away) | 2-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2019 | Rudar(home) | 3-2 | First League |
| Mar 13, 2019 | Buducnost Podgorica(away) | 0-3 | First League |
| Mar 9, 2019 | Lovćen(away) | 3-1 | First League |
| Mar 2, 2019 | Mornar(home) | 2-1 | First League |
| Feb 26, 2019 | Sutjeska(away) | 1-2 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Iskra win, 0 draws, 1 Petrovac win.
| Date | Score | Competition |
|---|---|---|
| Dec 1, 2018 | Petrovac 1-2 Iskra | First League |
| Sep 19, 2018 | Iskra 0-1 Petrovac | First League |
How many goals should we expect?
Iskra score 1.0 and concede 1.4 goals per match over their last 15; Petrovac score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iskra | 1.0 | 1.4 | 3 | 10/15 | 6/15 |
| Petrovac | 1.4 | 1.5 | 5 | 7/15 | 10/15 |
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 | Petrovac | 9 | 1 | 5 | 3 | 7 | 9 | 8 |
A question about Iskra vs Petrovac?
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