Maritsa Plovdiv vs Lokomotiv G. Oryahovitsa: result 3-1 and analysis
Second LeagueRegular Season - 11Kick-off on October 13, 2017 at 01:00 PM (UTC)Stadion Maritsa, Plovdiv
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What was the result of Maritsa Plovdiv vs Lokomotiv G. Oryahovitsa?
Maritsa Plovdiv won 3-1 on October 13, 2017.
Goalscorers
- 39′10745Maritsa Plovdiv
- 69′S. ShterevMaritsa Plovdiv
- 76′D. HristovLokomotiv G. Oryahovitsa
- 89′10875Maritsa Plovdiv
What is the recent form of both teams?
Over their last 11 matches in all competitions, Maritsa Plovdiv have 3 wins, 1 draws and 7 defeats; Lokomotiv G. Oryahovitsa have 3, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Litex(away) | 1-1 | Second League |
| Sep 25, 2017 | Pomorie(home) | 1-0 | Second League |
| Sep 21, 2017 | Lokomotiv Plovdiv(home) | 1-3 | Cup |
| Sep 15, 2017 | Nesebar(away) | 0-4 | Second League |
| Sep 11, 2017 | Chernomorets Balchik(home) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2017 | Montana(home) | 1-1 | Second League |
| Sep 25, 2017 | Oborishte(away) | 1-2 | Second League |
| Sep 21, 2017 | Botev Plovdiv(home) | 1-3 | Cup |
| Sep 16, 2017 | Botev Vratsa(home) | 1-3 | Second League |
| Sep 10, 2017 | Ludogorets II(away) | 2-2 | Second League |
How many goals should we expect?
Maritsa Plovdiv score 1.3 and concede 2.0 goals per match over their last 11; Lokomotiv G. Oryahovitsa score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maritsa Plovdiv | 1.3 | 2.0 | 2 | 6/11 | 7/11 |
| Lokomotiv G. Oryahovitsa | 1.7 | 1.9 | 0 | 11/11 | 8/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Lokomotiv G. Oryahovitsa | 5 | 2 | 1 | 2 | 5 | 6 | 7 |
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