Borac Cacak vs Mladost Lucani: result 0-1 and analysis
Super LigaRegular Season - 2Kick-off on July 30, 2016 at 06:00 PM (UTC)Stadion Borca kraj Morave, Čačak
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What was the result of Borac Cacak vs Mladost Lucani?
Mladost Lucani won 0-1 on July 30, 2016.
Goalscorers
- 36′E. OditaMladost Lucani
Official lineup for Borac Cacak vs Mladost Lucani
The starting elevens fielded at kick-off.
Borac Cacak
- 34S. Vujaklija
- 73Lazar Jovanović
- 13M. Marčić
- 14Zoran Kostić
- 31Marko Zoćević
- 88M. Balabanović
- 4L. Obradović
- 6Miloš Krstić
- 19S. Drašković
- 28A. Tanasin
- 1Branimir Aleksić
Mladost Lucani
- 7S. Jovanović
- 18E. Odita
- 10R. Milosavljević
- 11N. Gavrić
- 17I. Pešić
- 27V. Radivojević
- 31J. Tumbasević
- 5S. Saničanin
- 33R. Protić
- 93M. Šatara
- 1Nemanja Krznarić
What is the recent form of both teams?
In their last match in all competitions, Borac Cacak have 0 wins, 0 draws and 1 defeat; Mladost Lucani have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 23, 2016 | Metalac GM(away) | 0-1 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 23, 2016 | RAD(home) | 2-1 | Super Liga |
How many goals should we expect?
Borac Cacak score 0.0 and concede 1.0 goals per match in their last match; Mladost Lucani score 2.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Borac Cacak | 0.0 | 1.0 | 0 | 0/1 | 0/1 |
| Mladost Lucani | 2.0 | 1.0 | 0 | 1/1 | 1/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Mladost Lucani | 12 | 4 | 5 | 3 | 11 | 17 | 17 |
A question about Borac Cacak vs Mladost Lucani?
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