Kom Berkovitsa vs Lokomotiv Dryanovo: result 3-0 and analysis
Third League - NorthwestRegular Season - 8Kick-off on September 30, 2018 at 02:00 PM (UTC)Stadion Mramor, Berkovitsa
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What was the result of Kom Berkovitsa vs Lokomotiv Dryanovo?
Kom Berkovitsa won 3-0 on September 30, 2018.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Kom Berkovitsa have 4 wins, 1 draws and 2 defeats; Lokomotiv Dryanovo have 1, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2018 | Spartak Pleven(away) | 1-1 | Third League - Northwest |
| Sep 16, 2018 | Yantra Polski Trambesh(home) | 3-0 | Third League - Northwest |
| Sep 9, 2018 | Parva atomna(home) | 2-1 | Third League - Northwest |
| Sep 2, 2018 | Vihar Slavyanovo(away) | 0-2 | Third League - Northwest |
| Aug 26, 2018 | Bdin(home) | 2-1 | Third League - Northwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2018 | Vihar Slavyanovo(home) | 0-1 | Third League - Northwest |
| Sep 16, 2018 | Bdin(away) | 1-6 | Third League - Northwest |
| Sep 9, 2018 | Lokomotiv Mezdra(home) | 1-2 | Third League - Northwest |
| Sep 2, 2018 | Yantra Gabrovo(away) | 1-9 | Third League - Northwest |
| Aug 26, 2018 | Akademik Svishtov(home) | 1-3 | Third League - Northwest |
How many goals should we expect?
Kom Berkovitsa score 1.6 and concede 1.3 goals per match over their last 7; Lokomotiv Dryanovo score 1.1 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kom Berkovitsa | 1.6 | 1.3 | 1 | 5/7 | 5/7 |
| Lokomotiv Dryanovo | 1.1 | 3.4 | 1 | 5/7 | 5/7 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Kom Berkovitsa | 22 | 13 | 6 | 3 | 46 | 22 | 45 |
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