Rembas vs Jagodina: result 0-2 and analysis
Srpska Liga - EastEast - 16Kick-off on March 8, 2020 at 02:00 PM (UTC)Stadion Rembas, Resavica
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What was the result of Rembas vs Jagodina?
Jagodina won 0-2 on March 8, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rembas have 3 wins, 5 draws and 7 defeats; Jagodina have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Toplicanin Prokuplje(home) | 1-2 | Srpska Liga - East |
| Nov 16, 2019 | Dunav Prahovo(away) | 3-3 | Srpska Liga - East |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Budućnost Popovac(away) | 1-1 | Srpska Liga - East |
| Nov 16, 2019 | Dubočica(home) | 2-1 | Srpska Liga - East |
| Nov 9, 2019 | Moravac Mrštane(home) | 1-2 | Srpska Liga - East |
| Nov 2, 2019 | Toplicanin Prokuplje(away) | 1-1 | Srpska Liga - East |
| Oct 26, 2019 | Dunav Prahovo(home) | 2-1 | Srpska Liga - East |
What does the head-to-head say?
In the last meeting: 0 Rembas wins, 0 draws, 1 Jagodina win.
| Date | Score | Competition |
|---|---|---|
| Aug 17, 2019 | Jagodina 4-0 Rembas | Srpska Liga - East |
How many goals should we expect?
Rembas score 1.5 and concede 1.8 goals per match over their last 15; Jagodina score 1.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rembas | 1.5 | 1.8 | 2 | 10/15 | 10/15 |
| Jagodina | 1.9 | 0.7 | 6 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Rembas sit 6th in Srpska Liga - East (44 points from 29 matches) and Jagodina sit 3rd (51 points from 29 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Jagodina | 29 | 15 | 6 | 8 | 70 | 31 | 51 |
| 6 | Rembas | 29 | 13 | 5 | 11 | 48 | 47 | 44 |
A question about Rembas vs Jagodina?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy