TSC Backa Topola vs Mladost Lucani: result 5-1 and analysis
Super LigaRegular Season - 2Kick-off on July 27, 2019 at 04:00 PM (UTC)TSC Arena, Bačka Topola
Full time
What was the result of TSC Backa Topola vs Mladost Lucani?
TSC Backa Topola won 5-1 on July 27, 2019.
Goalscorers
- 8′N. LukićTSC Backa Topola (pen.)
- 16′G. AntonićTSC Backa Topola
- 45′V. SilađiTSC Backa Topola
- 49′J. TumbasevićTSC Backa Topola
- 73′EliomarMladost Lucani
- 74′David ŠinkovičTSC Backa Topola
What is the recent form of both teams?
Over their last 15 matches in all competitions, TSC Backa Topola have 14 wins, 1 draws and 0 defeats; Mladost Lucani have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 19, 2019 | FK Vozdovac(away) | 2-1 | Super Liga |
| May 5, 2019 | Metalac GM(home) | 1-0 | Prva Liga |
| May 1, 2019 | Sindjelic Beograd(away) | 2-2 | Prva Liga |
| Apr 27, 2019 | Radnicki 1923(home) | 2-1 | Prva Liga |
| Apr 20, 2019 | Bezanija(away) | 3-2 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2019 | Radnik Surdulica(home) | 2-1 | Super Liga |
| May 19, 2019 | Radnicki NIS(away) | 2-2 | Super Liga |
| May 11, 2019 | Cukaricki(home) | 1-1 | Super Liga |
| May 5, 2019 | FK Crvena Zvezda(away) | 0-1 | Super Liga |
| May 1, 2019 | FK Partizan(away) | 1-2 | Super Liga |
How many goals should we expect?
TSC Backa Topola score 2.6 and concede 0.7 goals per match over their last 15; Mladost Lucani score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TSC Backa Topola | 2.6 | 0.7 | 8 | 7/15 | 11/15 |
| Mladost Lucani | 1.2 | 1.1 | 3 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Mladost Lucani | 6 | 2 | 4 | 0 | 7 | 4 | 10 |
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