Napredak vs RAD: result 2-2 and analysis
Super LigaRegular Season - 1Kick-off on July 22, 2017 at 06:00 PM (UTC)Stadion Mladost, Kruševac
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What was the result of Napredak vs RAD?
Napredak and RAD drew 2-2 on July 22, 2017.
Goalscorers
- 39′F. KasalicaNapredak
- 55′A. LutovacRAD
- 66′Enver AlivodićNapredak
- 80′L. MiloševRAD
What is the recent form of both teams?
Over their last 15 matches in all competitions, Napredak have 6 wins, 2 draws and 7 defeats; RAD have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2017 | FK Vozdovac(home) | 1-1 | Super Liga |
| May 17, 2017 | Mladost Lucani(away) | 2-3 | Super Liga |
| May 13, 2017 | Javor(home) | 3-0 | Super Liga |
| May 7, 2017 | Radnicki NIS(home) | 0-2 | Super Liga |
| Apr 30, 2017 | FK Partizan(away) | 1-3 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2017 | Cukaricki(away) | 1-0 | Super Liga |
| May 17, 2017 | Metalac GM(home) | 1-0 | Super Liga |
| May 13, 2017 | Backa(home) | 0-1 | Super Liga |
| May 7, 2017 | FK Spartak Zdrepceva KRV(away) | 0-0 | Super Liga |
| Apr 29, 2017 | Radnik Surdulica(home) | 0-2 | Super Liga |
What does the head-to-head say?
Across the last 2 meetings: 2 Napredak win(s), 0 draw(s), 0 RAD win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 18, 2017 | RAD 0-1 Napredak | Super Liga |
| Oct 14, 2016 | Napredak 2-0 RAD | Super Liga |
How many goals should we expect?
Napredak score 1.3 and concede 1.2 goals per match over their last 15; RAD score 0.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Napredak | 1.3 | 1.2 | 5 | 8/15 | 8/15 |
| RAD | 0.8 | 1.3 | 5 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Napredak | 37 | 3 | 9 | 25 | 30 | 76 | 18 |
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