Chernomorets Balchik vs Sportist G.Toshevo: result 7-0 and analysis
Third League - NortheastNorth-East - 12Kick-off on October 31, 2020 at 12:00 PM (UTC)Gradski stadion, Balchik
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What was the result of Chernomorets Balchik vs Sportist G.Toshevo?
Chernomorets Balchik won 7-0 on October 31, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chernomorets Balchik have 10 wins, 2 draws and 3 defeats; Sportist G.Toshevo have 3, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Inter Dobrich(away) | 4-1 | Third League - Northeast |
| Oct 22, 2020 | Septemvri Sofia(home) | 1-0 | Cup |
| Oct 17, 2020 | Shumen 2007(home) | 5-2 | Third League - Northeast |
| Oct 11, 2020 | Ustrem Donchevo(away) | 4-1 | Third League - Northeast |
| Oct 3, 2020 | Dorostol(home) | 2-0 | Third League - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2020 | Kubrat(home) | 3-1 | Third League - Northeast |
| Oct 10, 2020 | Botev Novi Pazar(home) | 2-1 | Third League - Northeast |
| Oct 2, 2020 | Ludogorets III(away) | 0-6 | Third League - Northeast |
| Sep 26, 2020 | Topoli(home) | 5-1 | Third League - Northeast |
| Sep 20, 2020 | Chernolomets 1919(away) | 0-3 | Third League - Northeast |
How many goals should we expect?
Chernomorets Balchik score 1.9 and concede 0.8 goals per match over their last 15; Sportist G.Toshevo score 1.3 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chernomorets Balchik | 1.9 | 0.8 | 8 | 5/15 | 7/15 |
| Sportist G.Toshevo | 1.3 | 3.5 | 0 | 6/11 | 10/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Chernomorets Balchik | 32 | 27 | 4 | 1 | 92 | 14 | 85 |
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