Trstenik PPT vs Sinđelić: result 1-6 and analysis
Srpska Liga - EastEast - 7Kick-off on September 28, 2019 at 01:30 PM (UTC)Stadion SC Trstenik, Trstenik
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What was the result of Trstenik PPT vs Sinđelić?
Sinđelić won 1-6 on September 28, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Trstenik PPT have 0 wins, 0 draws and 6 defeats; Sinđelić have 3, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Moravac Mrštane(away) | 1-2 | Srpska Liga - East |
| Sep 15, 2019 | Rembas(away) | 0-3 | Srpska Liga - East |
| Sep 7, 2019 | Budućnost Popovac(home) | 0-2 | Srpska Liga - East |
| Aug 31, 2019 | Dubočica(away) | 0-4 | Srpska Liga - East |
| Aug 24, 2019 | Jagodina(home) | 0-1 | Srpska Liga - East |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Rembas(home) | 3-1 | Srpska Liga - East |
| Sep 15, 2019 | Budućnost Popovac(away) | 0-0 | Srpska Liga - East |
| Sep 7, 2019 | Dubočica(home) | 1-0 | Srpska Liga - East |
| Aug 31, 2019 | Jagodina(away) | 1-3 | Srpska Liga - East |
| Aug 24, 2019 | Toplicanin Prokuplje(home) | 1-0 | Srpska Liga - East |
How many goals should we expect?
Trstenik PPT score 0.2 and concede 2.5 goals per match over their last 6; Sinđelić score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Trstenik PPT | 0.2 | 2.5 | 0 | 1/6 | 4/6 |
| Sinđelić | 1.0 | 1.0 | 3 | 2/6 | 2/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Trstenik PPT sit 12th in Srpska Liga - East (37 points from 29 matches) and Sinđelić sit 7th (44 points from 29 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Sinđelić | 29 | 12 | 8 | 9 | 62 | 36 | 44 |
| 12 | Trstenik PPT | 29 | 10 | 7 | 12 | 31 | 40 | 37 |
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