TSC Backa Topola vs Metalac GM: result 0-2 and analysis
Prva LigaRegular Season - 12Kick-off on November 5, 2017 at 12:30 PM (UTC)TSC Arena, Bačka Topola
Full time
What was the result of TSC Backa Topola vs Metalac GM?
Metalac GM won 0-2 on November 5, 2017.
Goalscorers
- 69′M. AnđićMetalac GM
- 81′Eze Vincent OkeuhieMetalac GM
What is the recent form of both teams?
Over their last 11 matches in all competitions, TSC Backa Topola have 4 wins, 5 draws and 2 defeats; Metalac GM have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2017 | Indjija(away) | 1-1 | Prva Liga |
| Oct 21, 2017 | Buducnost Dobanovci(home) | 1-0 | Prva Liga |
| Oct 14, 2017 | Teleoptik(away) | 0-2 | Prva Liga |
| Oct 7, 2017 | Dinamo Vranje(home) | 0-0 | Prva Liga |
| Sep 30, 2017 | Radnicki 1923(away) | 2-2 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2017 | Buducnost Dobanovci(away) | 0-0 | Prva Liga |
| Oct 21, 2017 | Dinamo Vranje(home) | 0-2 | Prva Liga |
| Oct 15, 2017 | Bezanija(away) | 1-0 | Prva Liga |
| Oct 8, 2017 | Proleter Novi SAD(home) | 1-2 | Prva Liga |
| Oct 1, 2017 | Radnicki Pirot(away) | 3-0 | Prva Liga |
How many goals should we expect?
TSC Backa Topola score 0.9 and concede 0.6 goals per match over their last 11; Metalac GM score 1.1 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TSC Backa Topola | 0.9 | 0.6 | 7 | 2/11 | 2/11 |
| Metalac GM | 1.1 | 0.6 | 8 | 3/15 | 4/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
TSC Backa Topola sit 3rd in Prva Liga (11 points from 5 matches) and Metalac GM sit 12th (4 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | TSC Backa Topola | 5 | 3 | 2 | 0 | 9 | 6 | 11 |
| 12 | Metalac GM | 5 | 1 | 1 | 3 | 4 | 7 | 4 |
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