Petrovac vs Iskra: result 0-4 and analysis
First LeagueRegular Season - 35Kick-off on May 19, 2019 at 03:00 PM (UTC)Stadion Mitar Mićo Goliš, Petrovac na Moru
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What was the result of Petrovac vs Iskra?
Iskra won 0-4 on May 19, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Petrovac have 5 wins, 3 draws and 7 defeats; Iskra have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2019 | Rudar(away) | 1-0 | First League |
| May 11, 2019 | Buducnost Podgorica(home) | 0-0 | First League |
| May 4, 2019 | Lovćen(home) | 0-0 | First League |
| Apr 27, 2019 | Mornar(away) | 5-1 | First League |
| Apr 21, 2019 | Sutjeska(home) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2019 | Lovćen(home) | 2-0 | First League |
| May 11, 2019 | Mornar(away) | 3-1 | First League |
| May 4, 2019 | Sutjeska(home) | 1-1 | First League |
| Apr 27, 2019 | Grbalj(away) | 1-2 | First League |
| Apr 20, 2019 | Zeta(home) | 0-1 | First League |
What does the head-to-head say?
Across the last 3 meetings: 1 Petrovac win(s), 0 draw(s), 2 Iskra win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 30, 2019 | Iskra 2-1 Petrovac | First League |
| Dec 1, 2018 | Petrovac 1-2 Iskra | First League |
| Sep 19, 2018 | Iskra 0-1 Petrovac | First League |
How many goals should we expect?
Petrovac score 1.3 and concede 1.4 goals per match over their last 15; Iskra score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Petrovac | 1.3 | 1.4 | 3 | 7/15 | 8/15 |
| Iskra | 1.4 | 1.3 | 2 | 11/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Petrovac | 4 | 1 | 2 | 1 | 3 | 1 | 5 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy