Lokomotiv Dryanovo vs Juventus Malchika: result 7-1 and analysis
Third League - NorthwestNorth-West - 12Kick-off on November 10, 2019 at 12:30 PM (UTC)Stadion Lokomotiv, Dryanovo
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What was the result of Lokomotiv Dryanovo vs Juventus Malchika?
Lokomotiv Dryanovo won 7-1 on November 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokomotiv Dryanovo have 5 wins, 6 draws and 4 defeats; Juventus Malchika have 0, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2019 | Vihar Slavyanovo(away) | 0-4 | Third League - Northwest |
| Oct 20, 2019 | Yantra 2019(away) | 0-1 | Third League - Northwest |
| Oct 13, 2019 | Drenovets(home) | 1-1 | Third League - Northwest |
| Oct 6, 2019 | Kom Berkovitsa(home) | 4-2 | Third League - Northwest |
| Sep 29, 2019 | Lokomotiv Mezdra(away) | 0-0 | Third League - Northwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 29, 2019 | Akademik Svishtov(away) | 2-7 | Third League - Northwest |
How many goals should we expect?
Lokomotiv Dryanovo score 1.4 and concede 1.3 goals per match over their last 15; Juventus Malchika score 1.1 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotiv Dryanovo | 1.4 | 1.3 | 4 | 8/15 | 8/15 |
| Juventus Malchika | 1.1 | 3.5 | 1 | 8/12 | 10/12 |
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