Sutjeska vs Iskra: result 2-0 and analysis
First LeagueRegular Season - 23Kick-off on March 9, 2019 at 01:30 PM (UTC)Stadion Kraj Bistrice, Nikšić
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What was the result of Sutjeska vs Iskra?
Sutjeska won 2-0 on March 9, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sutjeska have 10 wins, 4 draws and 1 defeat; Iskra have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2019 | Rudar(away) | 1-1 | First League |
| Feb 26, 2019 | Petrovac(home) | 2-1 | First League |
| Feb 19, 2019 | Lovćen(away) | 3-1 | First League |
| Dec 8, 2018 | Mornar(home) | 2-1 | First League |
| Dec 5, 2018 | Buducnost Podgorica(away) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2019 | Grbalj(home) | 1-1 | First League |
| Feb 26, 2019 | Zeta(away) | 2-0 | First League |
| Feb 19, 2019 | FK Mladost Podgorica(home) | 2-3 | First League |
| Dec 9, 2018 | Buducnost Podgorica(home) | 0-0 | First League |
| Dec 5, 2018 | Rudar(home) | 1-1 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Sutjeska win, 0 draws, 1 Iskra win.
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2018 | Iskra 0-4 Sutjeska | First League |
| Aug 25, 2018 | Sutjeska 1-2 Iskra | First League |
How many goals should we expect?
Sutjeska score 1.7 and concede 0.5 goals per match over their last 15; Iskra score 0.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sutjeska | 1.7 | 0.5 | 7 | 7/15 | 7/15 |
| Iskra | 0.8 | 1.3 | 4 | 8/15 | 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 | Sutjeska | 10 | 4 | 3 | 3 | 11 | 7 | 15 |
A question about Sutjeska vs Iskra?
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