Lokomotiv G. Oryahovitsa vs Juventus Malchika: result 0-1 and analysis
Third League - NorthwestNorth-West - 18Kick-off on February 19, 2022 at 12:00 PM (UTC)Stadion Lokomotiv, Gorna Oryahovitsa
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What was the result of Lokomotiv G. Oryahovitsa vs Juventus Malchika?
Juventus Malchika won 0-1 on February 19, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokomotiv G. Oryahovitsa have 9 wins, 2 draws and 4 defeats; Juventus Malchika have 0, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2021 | Etar VT II(home) | 3-1 | Third League - Northwest |
| Nov 12, 2021 | OFK Levski(away) | 0-1 | Third League - Northwest |
| Nov 6, 2021 | Botev Vratsa II(home) | 2-1 | Third League - Northwest |
| Oct 31, 2021 | Bdin(away) | 0-4 | Third League - Northwest |
| Oct 28, 2021 | Ludogorets(away) | 1-3 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Lokomotiv Dryanovo(away) | 1-7 | Third League - Northwest |
| Oct 31, 2019 | Drenovets(home) | 2-2 | Third League - Northwest |
| Oct 20, 2019 | Lokomotiv Mezdra(home) | 2-2 | Third League - Northwest |
| Oct 13, 2019 | Pavlikeni(away) | 2-4 | Third League - Northwest |
| Oct 6, 2019 | Sevlievo(home) | 1-2 | Third League - Northwest |
How many goals should we expect?
Lokomotiv G. Oryahovitsa score 1.7 and concede 1.1 goals per match over their last 15; Juventus Malchika score 1.1 and concede 3.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotiv G. Oryahovitsa | 1.7 | 1.1 | 5 | 7/15 | 10/15 |
| Juventus Malchika | 1.1 | 3.8 | 1 | 9/13 | 11/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Juventus Malchika | 22 | 2 | 1 | 19 | 13 | 72 | 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