Iskra vs FK Mladost Podgorica: result 0-1 and analysis
First LeagueMatchday 2Kick-off on August 11, 2018 at 03:30 PM (UTC)Stadion Braća Velašević, Danilovgrad
Full time
What was the result of Iskra vs FK Mladost Podgorica?
FK Mladost Podgorica won 0-1 on August 11, 2018.
Goalscorers
- 57′S. MiloševićFK Mladost Podgorica (o.g.)
Official lineup for Iskra vs FK Mladost Podgorica
The starting elevens fielded at kick-off.
Iskra
- NN. Karaklajić
- SS. Milošević
- DDanilo Marković
- II. Burzanović
- MMiroje Jovanović
- II. Šahman
- LL. Pejović
- MMiloš Lakić
- MM. Drinčić
- MM. Đuričković
- SSrđan Blažić
FK Mladost Podgorica
- MMarko Pavićević
- ZZ. Petrović
- MMirko Raičević
- JJ. Nikolić
- VV. Pavlović
- RR. Živković
- II. Novović
- BB. Ojdanić
- BBalša Banović
- PPjeter Ljuljđuraj
- DD. Ljuljanović
What is the recent form of both teams?
In their last match in all competitions, Iskra have 0 wins, 0 draws and 1 defeat; FK Mladost Podgorica have 4, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2018 | Buducnost Podgorica(home) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2018 | Rudar(home) | 0-0 | First League |
| Jul 19, 2018 | B36 Torshavn(home) | 1-2 | UEFA Europa League |
| Jul 12, 2018 | B36 Torshavn(away) | 0-0 | UEFA Europa League |
| Jul 20, 2017 | Sturm Graz(home) | 0-3 | UEFA Europa League |
| Jul 13, 2017 | Sturm Graz(away) | 1-0 | UEFA Europa League |
How many goals should we expect?
Iskra score 0.0 and concede 1.0 goals per match in their last match; FK Mladost Podgorica score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iskra | 0.0 | 1.0 | 0 | 0/1 | 0/1 |
| FK Mladost Podgorica | 0.9 | 1.3 | 6 | 4/13 | 6/13 |
Over the last match in all competitions.
A question about Iskra vs FK Mladost Podgorica?
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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