Vitosha Bistritsa vs Lokomotiv Sofia: prediction and stats
Second LeagueRegular Season - 10Kick-off on October 17, 2020 at 03:00 PM (UTC)Stadion Letishte, Sofia
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vitosha Bistritsa have 1 wins, 3 draws and 11 defeats; Lokomotiv Sofia have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2020 | Neftochimic Burgas(away) | 0-3 | Second League |
| Sep 30, 2020 | Chernomorets Balchik(away) | 0-3 | Cup |
| Sep 26, 2020 | Lokomotiv G. Oryahovitsa(home) | 0-1 | Second League |
| Sep 19, 2020 | Sportist Svoge(away) | 1-1 | Second League |
| Sep 13, 2020 | Ludogorets II(home) | 0-3 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2020 | Pirin Blagoevgrad(home) | 3-1 | Second League |
| Sep 29, 2020 | Spartak Varna(away) | 1-2 | Cup |
| Sep 25, 2020 | Kariana Erden(away) | 2-3 | Second League |
| Sep 19, 2020 | Litex(home) | 2-0 | Second League |
| Sep 10, 2020 | Dobrudzha(away) | 3-0 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 0 Vitosha Bistritsa win(s), 1 draw(s), 1 Lokomotiv Sofia win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 30, 2017 | Vitosha Bistritsa 0-2 Lokomotiv Sofia | Second League |
| Oct 30, 2016 | Lokomotiv Sofia 1-1 Vitosha Bistritsa | Second League |
Last archived meeting: Vitosha Bistritsa vs Lokomotiv Sofia on Apr 30, 2017
How many goals should we expect?
Vitosha Bistritsa score 0.3 and concede 1.5 goals per match over their last 15; Lokomotiv Sofia score 2.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vitosha Bistritsa | 0.3 | 1.5 | 2 | 4/15 | 6/15 |
| Lokomotiv Sofia | 2.0 | 0.7 | 10 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
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