Benkovski Byala vs Chernolomets 1919: result 1-3 and analysis
Third League - NortheastNorth-East - 8Kick-off on October 6, 2019 at 01:00 PM (UTC)Stadion Georgi Benkovski, Byala
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What was the result of Benkovski Byala vs Chernolomets 1919?
Chernolomets 1919 won 1-3 on October 6, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Benkovski Byala have 2 wins, 1 draws and 12 defeats; Chernolomets 1919 have 4, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Kubrat(away) | 0-1 | Third League - Northeast |
| Sep 15, 2019 | Suvorovo(away) | 0-8 | Third League - Northeast |
| Sep 8, 2019 | Shumen 2007(away) | 0-2 | Third League - Northeast |
| Sep 1, 2019 | Septemvri Tervel(home) | 1-1 | Third League - Northeast |
| Aug 24, 2019 | Svetkavitsa Targovishte(away) | 0-6 | Third League - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Ustrem Donchevo(home) | 7-0 | Third League - Northeast |
| Sep 21, 2019 | Dobrudzha(away) | 0-5 | Third League - Northeast |
| Sep 15, 2019 | Topoli(home) | 3-0 | Third League - Northeast |
| Aug 31, 2019 | Hitrino(away) | 2-1 | Third League - Northeast |
| Aug 25, 2019 | Kubrat(away) | 1-0 | Third League - Northeast |
How many goals should we expect?
Benkovski Byala score 0.5 and concede 3.0 goals per match over their last 15; Chernolomets 1919 score 2.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Benkovski Byala | 0.5 | 3.0 | 1 | 4/15 | 10/15 |
| Chernolomets 1919 | 2.2 | 1.2 | 3 | 1/6 | 4/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Chernolomets 1919 | 32 | 20 | 3 | 9 | 78 | 43 | 63 |
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