Kubrat vs Chernomorets Balchik: result 0-0 and analysis
Third League - NortheastNorth-East - 6Kick-off on September 20, 2020 at 02:00 PM (UTC)Gradski stadion, Kubrat
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What was the result of Kubrat vs Chernomorets Balchik?
Kubrat and Chernomorets Balchik drew 0-0 on September 20, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kubrat have 4 wins, 2 draws and 9 defeats; Chernomorets Balchik have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2020 | Dunav Ruse(home) | 0-1 | Third League - Northeast |
| Aug 22, 2020 | Botev Novi Pazar(home) | 2-0 | Third League - Northeast |
| Aug 16, 2020 | Ludogorets III(away) | 1-4 | Third League - Northeast |
| Aug 9, 2020 | Topoli(home) | 0-0 | Third League - Northeast |
| Mar 1, 2020 | Topoli(home) | 0-2 | Third League - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2020 | Botev Novi Pazar(away) | 1-1 | Third League - Northeast |
| Aug 16, 2020 | Topoli(away) | 1-2 | Third League - Northeast |
| Aug 8, 2020 | Chernolomets 1919(home) | 1-0 | Third League - Northeast |
| Jul 30, 2020 | Topoli(home) | 2-0 | Friendlies Clubs |
| Mar 7, 2020 | Septemvri Sofia(away) | 0-4 | Second League |
How many goals should we expect?
Kubrat score 0.7 and concede 2.1 goals per match over their last 15; Chernomorets Balchik score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kubrat | 0.7 | 2.1 | 4 | 5/15 | 7/15 |
| Chernomorets Balchik | 1.0 | 1.2 | 8 | 4/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Chernomorets Balchik | 7 | 5 | 2 | 0 | 12 | 5 | 17 |
A question about Kubrat vs Chernomorets Balchik?
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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