Arda Kardzhali vs Dunav Ruse: result 0-2 and analysis
First LeagueRegular Season - 12Kick-off on October 6, 2019 at 02:30 PM (UTC)Stadion Lokomotiv, Plovdiv
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What was the result of Arda Kardzhali vs Dunav Ruse?
Dunav Ruse won 0-2 on October 6, 2019.
Goalscorers
- 45′A. AhmedovDunav Ruse
- 67′S. HristovDunav Ruse
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arda Kardzhali have 9 wins, 3 draws and 3 defeats; Dunav Ruse have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2019 | Etar Veliko Tarnovo(home) | 2-1 | First League |
| Sep 26, 2019 | Hebar 1918(away) | 2-0 | Cup |
| Sep 22, 2019 | Ludogorets(away) | 0-2 | First League |
| Sep 13, 2019 | Botev Vratsa(home) | 2-1 | First League |
| Aug 30, 2019 | Slavia Sofia(away) | 3-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Ludogorets(home) | 0-1 | First League |
| Sep 26, 2019 | CSKA 1948(away) | 1-2 | Cup |
| Sep 21, 2019 | Botev Vratsa(away) | 0-0 | First League |
| Sep 15, 2019 | Slavia Sofia(home) | 0-0 | First League |
| Aug 30, 2019 | Cherno More Varna(away) | 1-1 | First League |
How many goals should we expect?
Arda Kardzhali score 1.7 and concede 1.2 goals per match over their last 15; Dunav Ruse score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arda Kardzhali | 1.7 | 1.2 | 6 | 8/15 | 8/15 |
| Dunav Ruse | 0.9 | 1.3 | 4 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Arda Kardzhali sit 5th in First League (10 points from 5 matches) and Dunav Ruse sit 12th (3 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Arda Kardzhali | 5 | 3 | 1 | 1 | 8 | 4 | 10 |
| 12 | Dunav Ruse | 6 | 1 | 0 | 5 | 5 | 12 | 3 |
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