Lokomotiv Ruse vs Chernomorets Balchik: result 1-5 and analysis
Third League - NortheastNorth-East - 9Kick-off on October 16, 2021 at 01:00 PM (UTC)Gradski Stadion, Rousse
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What was the result of Lokomotiv Ruse vs Chernomorets Balchik?
Chernomorets Balchik won 1-5 on October 16, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokomotiv Ruse have 3 wins, 2 draws and 10 defeats; Chernomorets Balchik have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Botev Novi Pazar(away) | 1-2 | Third League - Northeast |
| Oct 3, 2021 | Ustrem Donchevo(away) | 1-2 | Third League - Northeast |
| Sep 25, 2021 | Riltzi(home) | 1-2 | Third League - Northeast |
| Sep 19, 2021 | Dunav Ruse(away) | 0-8 | Third League - Northeast |
| Sep 11, 2021 | Spartak Varna II(away) | 1-1 | Third League - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2021 | Ustrem Donchevo(home) | 1-0 | Third League - Northeast |
| Oct 2, 2021 | Riltzi(away) | 2-1 | Third League - Northeast |
| Sep 25, 2021 | Spartak Varna II(home) | 6-1 | Third League - Northeast |
| Sep 11, 2021 | Ludogorets III(away) | 0-1 | Third League - Northeast |
| Sep 8, 2021 | Dunav Ruse(home) | 1-2 | Third League - Northeast |
How many goals should we expect?
Lokomotiv Ruse score 0.9 and concede 2.4 goals per match over their last 15; Chernomorets Balchik score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotiv Ruse | 0.9 | 2.4 | 2 | 6/15 | 11/15 |
| Chernomorets Balchik | 1.9 | 1.1 | 4 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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