Lokomotiv Ruse vs Cherno more II: result 0-3 and analysis
Third League - NortheastNortheast - 15Kick-off on November 26, 2022 at 12:00 PM (UTC)Gradski Stadion, Rousse
Full time
What was the result of Lokomotiv Ruse vs Cherno more II?
Cherno more II won 0-3 on November 26, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokomotiv Ruse have 0 wins, 3 draws and 12 defeats; Cherno more II have 7, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2022 | Chernomorets Balchik(away) | 0-2 | Third League - Northeast |
| Nov 12, 2022 | Riltzi(home) | 0-4 | Third League - Northeast |
| Nov 5, 2022 | Sportist G.Toshevo(away) | 1-2 | Third League - Northeast |
| Oct 30, 2022 | Spartak Varna II(home) | 0-2 | Third League - Northeast |
| Oct 22, 2022 | Chernolomets 1919(away) | 4-4 | Third League - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2022 | Svetkavitsa Targovishte(home) | 0-1 | Third League - Northeast |
| Nov 12, 2022 | Ludogorets III(away) | 1-2 | Third League - Northeast |
| Nov 5, 2022 | Septemvri Tervel(home) | 0-2 | Third League - Northeast |
| Oct 21, 2022 | Chernomorets Balchik(away) | 0-1 | Third League - Northeast |
| Oct 16, 2022 | Riltzi(home) | 5-0 | Third League - Northeast |
How many goals should we expect?
Lokomotiv Ruse score 0.7 and concede 2.6 goals per match over their last 15; Cherno more II score 2.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotiv Ruse | 0.7 | 2.6 | 1 | 5/15 | 10/15 |
| Cherno more II | 2.1 | 1.2 | 3 | 6/13 | 8/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Cherno more II | 31 | 15 | 7 | 9 | 62 | 44 | 52 |
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