Cherno More Varna vs Botev Vratsa: result 2-1 and analysis
First LeagueRegular Season - 1Kick-off on July 20, 2018 at 05:45 PM (UTC)Stadion Ticha, Dolni chiflik
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What was the result of Cherno More Varna vs Botev Vratsa?
Cherno More Varna won 2-1 on July 20, 2018.
Goalscorers
- 5′P. AtanasovBotev Vratsa
- 41′M. IvanovCherno More Varna (o.g.)
- 87′G. BozhilovCherno More Varna
What is the recent form of both teams?
Over their last 3 matches in all competitions, Cherno More Varna have 0 wins, 1 draws and 2 defeats; Botev Vratsa have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2017 | Montana(away) | 1-2 | Cup |
| Jul 23, 2015 | Dinamo Minsk(away) | 0-4 | UEFA Europa League |
| Jul 16, 2015 | Dinamo Minsk(home) | 1-1 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2018 | Montana(home) | 2-1 | Second League |
| May 13, 2018 | Oborishte(away) | 2-0 | Second League |
| May 6, 2018 | Strumska Slava(away) | 2-0 | Second League |
| Apr 28, 2018 | Ludogorets II(home) | 5-0 | Second League |
| Apr 23, 2018 | Botev Galabovo(away) | 4-0 | Second League |
How many goals should we expect?
Cherno More Varna score 0.7 and concede 2.3 goals per match over their last 3; Botev Vratsa score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cherno More Varna | 0.7 | 2.3 | 0 | 2/3 | 2/3 |
| Botev Vratsa | 1.7 | 0.7 | 8 | 5/15 | 6/15 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
Cherno More Varna sit 10th in First League (4 points from 6 matches) and Botev Vratsa sit 14th (1 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Cherno More Varna | 6 | 1 | 1 | 4 | 7 | 13 | 4 |
| 14 | Botev Vratsa | 5 | 0 | 1 | 4 | 3 | 13 | 1 |
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