Chernomorets Balchik vs Montana: result 1-0 and analysis
Second LeagueRegular Season - 6Kick-off on August 26, 2017 at 03:00 PM (UTC)Gradski stadion, Balchik
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What was the result of Chernomorets Balchik vs Montana?
Chernomorets Balchik won 1-0 on August 26, 2017.
Goalscorers
- 11′V. MitevChernomorets Balchik
What is the recent form of both teams?
Over their last 5 matches in all competitions, Chernomorets Balchik have 1 win, 1 draw and 3 defeats; Montana have 2, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Oborishte(away) | 0-2 | Second League |
| Aug 12, 2017 | Botev Vratsa(home) | 0-1 | Second League |
| Aug 6, 2017 | Ludogorets II(away) | 2-2 | Second League |
| Jul 29, 2017 | Botev Galabovo(home) | 4-1 | Second League |
| Jul 22, 2017 | Sozopol(away) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2017 | Neftochimic Burgas(home) | 4-0 | Second League |
| Aug 12, 2017 | Lokomotiv Sofia(away) | 0-1 | Second League |
| Aug 7, 2017 | Maritsa Plovdiv(home) | 2-1 | Second League |
| Jul 29, 2017 | Strumska Slava(away) | 0-1 | Second League |
| Jul 22, 2017 | Oborishte(away) | 0-0 | Second League |
How many goals should we expect?
Chernomorets Balchik score 1.2 and concede 1.4 goals per match over their last 5; Montana score 1.2 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chernomorets Balchik | 1.2 | 1.4 | 0 | 2/5 | 2/5 |
| Montana | 1.2 | 0.6 | 2 | 1/5 | 2/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Montana | 14 | 4 | 2 | 8 | 18 | 29 | 14 |
A question about Chernomorets Balchik vs Montana?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy