Chernomorets Balchik vs Maritsa Plovdiv: result 1-0 and analysis
Second LeagueRegular Season - 22Kick-off on March 31, 2018 at 02:00 PM (UTC)Gradski stadion, Balchik
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What was the result of Chernomorets Balchik vs Maritsa Plovdiv?
Chernomorets Balchik won 1-0 on March 31, 2018.
Goalscorers
- 70′Vladislav MirchevChernomorets Balchik
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chernomorets Balchik have 4 wins, 6 draws and 5 defeats; Maritsa Plovdiv have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2018 | Montana(away) | 0-4 | Second League |
| Mar 10, 2018 | Oborishte(home) | 0-0 | Second League |
| Mar 4, 2018 | Botev Vratsa(away) | 2-3 | Second League |
| Dec 2, 2017 | Botev Galabovo(away) | 2-3 | Second League |
| Nov 25, 2017 | Sozopol(home) | 1-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2018 | Neftochimic Burgas(home) | 1-0 | Second League |
| Mar 10, 2018 | Lokomotiv Sofia(away) | 2-4 | Second League |
| Mar 5, 2018 | Strumska Slava(home) | 0-1 | Second League |
| Feb 24, 2018 | Montana(home) | 1-0 | Second League |
| Dec 2, 2017 | Oborishte(away) | 2-1 | Second League |
What does the head-to-head say?
Across the last 1 meetings: 1 Chernomorets Balchik win(s), 0 draw(s), 0 Maritsa Plovdiv win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2017 | Maritsa Plovdiv 0-1 Chernomorets Balchik | Second League |
Last archived meeting: Maritsa Plovdiv vs Chernomorets Balchik on Sep 11, 2017
How many goals should we expect?
Chernomorets Balchik score 1.1 and concede 1.5 goals per match over their last 15; Maritsa Plovdiv score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chernomorets Balchik | 1.1 | 1.5 | 4 | 8/15 | 6/15 |
| Maritsa Plovdiv | 1.2 | 1.5 | 4 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
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