Dunav Prahovo vs Rembas: result 3-3 and analysis
Srpska Liga - EastEast - 14Kick-off on November 16, 2019 at 12:00 PM (UTC)Stadion FK Dunav, Prahovo
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What was the result of Dunav Prahovo vs Rembas?
Dunav Prahovo and Rembas drew 3-3 on November 16, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Dunav Prahovo have 4 wins, 4 draws and 5 defeats; Rembas have 3, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Budućnost Popovac(away) | 0-1 | Srpska Liga - East |
| Nov 2, 2019 | Dubočica(home) | 2-2 | Srpska Liga - East |
| Oct 26, 2019 | Jagodina(away) | 1-2 | Srpska Liga - East |
| Oct 19, 2019 | Toplicanin Prokuplje(home) | 1-1 | Srpska Liga - East |
| Oct 12, 2019 | Moravac Mrštane(home) | 1-0 | Srpska Liga - East |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Radan(home) | 2-2 | Srpska Liga - East |
| Nov 3, 2019 | Car Konstantin(away) | 0-1 | Srpska Liga - East |
| Oct 27, 2019 | SFS Borac(home) | 1-1 | Srpska Liga - East |
| Oct 19, 2019 | Jedinstvo Bošnjace(away) | 4-1 | Srpska Liga - East |
| Oct 13, 2019 | Vlasina(home) | 1-1 | Srpska Liga - East |
How many goals should we expect?
Dunav Prahovo score 0.9 and concede 0.8 goals per match over their last 13; Rembas score 1.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dunav Prahovo | 0.9 | 0.8 | 4 | 5/13 | 2/13 |
| Rembas | 1.4 | 1.7 | 2 | 8/13 | 8/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Dunav Prahovo sit 14th in Srpska Liga - East (28 points from 29 matches) and Rembas sit 6th (44 points from 29 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Rembas | 29 | 13 | 5 | 11 | 48 | 47 | 44 |
| 14 | Dunav Prahovo | 29 | 8 | 4 | 17 | 42 | 65 | 28 |
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