Chernomorets Balchik vs Pirin Blagoevgrad: result 2-1 and analysis
Second LeagueRegular Season - 13Kick-off on November 4, 2018 at 12:30 PM (UTC)Gradski stadion, Balchik
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What was the result of Chernomorets Balchik vs Pirin Blagoevgrad?
Chernomorets Balchik won 2-1 on November 4, 2018.
Goalscorers
- 27′V. YoskovChernomorets Balchik
- 52′V. ZlatinovPirin Blagoevgrad
- 90′T. TrayanovChernomorets Balchik
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chernomorets Balchik have 5 wins, 3 draws and 7 defeats; Pirin Blagoevgrad have 4, 0 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2018 | Strumska Slava(away) | 1-3 | Cup |
| Oct 27, 2018 | Litex(away) | 0-3 | Second League |
| Oct 20, 2018 | Strumska Slava(home) | 2-1 | Second League |
| Oct 6, 2018 | Kariana Erden(away) | 0-0 | Second League |
| Sep 30, 2018 | Botev Galabovo(home) | 1-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Lokomotiv Sofia(home) | 0-2 | Second League |
| Oct 20, 2018 | Lokomotiv G. Oryahovitsa(away) | 2-0 | Second League |
| Oct 6, 2018 | Nesebar(home) | 1-3 | Second League |
| Sep 30, 2018 | CSKA 1948(home) | 1-2 | Second League |
| Sep 27, 2018 | Slavia Sofia(home) | 0-2 | Cup |
How many goals should we expect?
Chernomorets Balchik score 0.9 and concede 1.3 goals per match over their last 15; Pirin Blagoevgrad score 0.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chernomorets Balchik | 0.9 | 1.3 | 7 | 4/15 | 8/15 |
| Pirin Blagoevgrad | 0.9 | 1.8 | 3 | 6/14 | 8/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Pirin Blagoevgrad | 5 | 0 | 0 | 5 | 3 | 19 | 0 |
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