RAD vs Backa: result 2-1 and analysis
Super LigaRegular Season - 6Kick-off on August 20, 2016 at 06:00 PM (UTC)Stadion Kralj Petar Prvi, Beograd
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What was the result of RAD vs Backa?
RAD won 2-1 on August 20, 2016.
Goalscorers
- 2′B. VeselinovićRAD
- 54′Dejan ĐenićRAD
- 89′Strahinja MacanovićBacka
Official lineup for RAD vs Backa
The starting elevens fielded at kick-off.
RAD
- 19Dejan Đenić
- 77B. Veselinović
- 5Miloš Obradović
- 8Milan Ćulum
- 17A. Lutovac
- 33B. Mladenović
- 88M. Stanojević
- 25N. Maraš
- 44P. Jovanović
- 55Stevan Bates
- 1Darko Dejanović
Backa
- 7F. Bajić
- 11M. Galić
- 17Nikola Mojsilović
- 28L. Luković
- 8M. Bjeloš
- 21Zoran Švonja
- 2S. Nikolić
- 3Miloš Josimov
- 6I. Rogač
- 26Božo Jević
- 25F. Manojlović
What is the recent form of both teams?
Over their last 5 matches in all competitions, RAD have 2 wins, 0 draws and 3 defeats; Backa have 0, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 14, 2016 | Novi Pazar(away) | 2-0 | Super Liga |
| Aug 10, 2016 | Radnik Surdulica(home) | 1-0 | Super Liga |
| Aug 5, 2016 | Radnicki NIS(away) | 0-3 | Super Liga |
| Jul 30, 2016 | FK Vozdovac(home) | 0-2 | Super Liga |
| Jul 23, 2016 | Mladost Lucani(away) | 1-2 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | FK Spartak Zdrepceva KRV(home) | 1-3 | Super Liga |
| Aug 10, 2016 | Cukaricki(away) | 0-1 | Super Liga |
| Aug 6, 2016 | Javor(home) | 0-1 | Super Liga |
| Jul 31, 2016 | Vojvodina(away) | 0-1 | Super Liga |
| Jul 24, 2016 | FK Partizan(home) | 0-0 | Super Liga |
How many goals should we expect?
RAD score 0.8 and concede 1.4 goals per match over their last 5; Backa score 0.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RAD | 0.8 | 1.4 | 2 | 1/5 | 2/5 |
| Backa | 0.2 | 1.2 | 1 | 1/5 | 1/5 |
Over the last 5 matches in all competitions.
A question about RAD vs Backa?
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