Vitosha Bistritsa vs Arda Kardzhali: result 1-3 and analysis
First LeagueRegular Season - 4Kick-off on August 2, 2019 at 03:45 PM (UTC)Stadion Vitosha, Bistrica
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What was the result of Vitosha Bistritsa vs Arda Kardzhali?
Arda Kardzhali won 1-3 on August 2, 2019.
Goalscorers
- 5′Radoslav VasilevArda Kardzhali
- 23′G. KupenovVitosha Bistritsa
- 59′I. KokonovArda Kardzhali (pen.)
- 69′11181Arda Kardzhali (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vitosha Bistritsa have 4 wins, 2 draws and 9 defeats; Arda Kardzhali 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 |
|---|---|---|---|
| Jul 29, 2019 | Ludogorets(away) | 0-2 | First League |
| Jul 22, 2019 | Botev Vratsa(home) | 0-2 | First League |
| Jul 14, 2019 | Slavia Sofia(away) | 2-3 | First League |
| May 2, 2019 | Etar Veliko Tarnovo(away) | 0-2 | First League |
| Apr 25, 2019 | Vereya Stara Zagora(home) | 2-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 27, 2019 | Beroe(home) | 3-1 | First League |
| Jul 19, 2019 | Tsarsko Selo(away) | 0-0 | First League |
| Jul 14, 2019 | Botev Plovdiv(home) | 0-0 | First League |
| May 23, 2019 | Botev Galabovo(away) | 3-2 | Second League |
| May 19, 2019 | CSKA 1948(home) | 1-0 | Second League |
How many goals should we expect?
Vitosha Bistritsa score 0.9 and concede 1.6 goals per match over their last 15; Arda Kardzhali score 1.6 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vitosha Bistritsa | 0.9 | 1.6 | 5 | 3/15 | 5/15 |
| Arda Kardzhali | 1.6 | 0.6 | 9 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Arda Kardzhali | 5 | 3 | 1 | 1 | 8 | 4 | 10 |
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