Napredak vs TSC Backa Topola: result 1-3 and analysis
Super LigaRegular Season - 9Kick-off on September 21, 2019 at 04:00 PM (UTC)Stadion Mladost, Kruševac
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What was the result of Napredak vs TSC Backa Topola?
TSC Backa Topola won 1-3 on September 21, 2019.
Goalscorers
- 21′V. SilađiTSC Backa Topola
- 39′V. SilađiTSC Backa Topola
- 81′I. IvanovićNapredak
- 87′S. GrabežTSC Backa Topola
What is the recent form of both teams?
Over their last 15 matches in all competitions, Napredak have 5 wins, 3 draws and 7 defeats; TSC Backa Topola have 11, 4 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Radnik Surdulica(away) | 4-1 | Super Liga |
| Sep 1, 2019 | RAD(home) | 4-0 | Super Liga |
| Aug 24, 2019 | Javor(away) | 2-2 | Super Liga |
| Aug 18, 2019 | Macva(away) | 1-0 | Super Liga |
| Aug 11, 2019 | FK Partizan(home) | 2-2 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | Macva(home) | 0-0 | Super Liga |
| Sep 1, 2019 | FK Partizan(away) | 1-1 | Super Liga |
| Aug 25, 2019 | Indjija(home) | 2-0 | Super Liga |
| Aug 18, 2019 | Vojvodina(away) | 2-2 | Super Liga |
| Aug 10, 2019 | Cukaricki(home) | 1-0 | Super Liga |
How many goals should we expect?
Napredak score 1.8 and concede 1.6 goals per match over their last 15; TSC Backa Topola score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Napredak | 1.8 | 1.6 | 4 | 7/15 | 10/15 |
| TSC Backa Topola | 2.1 | 0.9 | 5 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Napredak sit 8th in Super Liga (18 points from 37 matches) and TSC Backa Topola sit 4th (45 points from 37 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | TSC Backa Topola | 37 | 11 | 12 | 14 | 45 | 45 | 45 |
| 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