Spartak Pleven vs Lokomotiv Dryanovo: result 4-1 and analysis
Third League - NorthwestRegular Season - 10Kick-off on October 11, 2018 at 01:00 PM (UTC)Pleven Stadium, Pleven
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What was the result of Spartak Pleven vs Lokomotiv Dryanovo?
Spartak Pleven won 4-1 on October 11, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Spartak Pleven have 8 wins, 1 draws and 6 defeats; Lokomotiv Dryanovo have 1, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2018 | Parva atomna(home) | 1-0 | Third League - Northwest |
| Sep 30, 2018 | Yantra Polski Trambesh(away) | 3-0 | Third League - Northwest |
| Sep 23, 2018 | Kom Berkovitsa(home) | 1-1 | Third League - Northwest |
| Sep 16, 2018 | Vihar Slavyanovo(away) | 0-1 | Third League - Northwest |
| Sep 9, 2018 | Bdin(home) | 2-3 | Third League - Northwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2018 | Yantra Polski Trambesh(home) | 0-1 | Third League - Northwest |
| Sep 30, 2018 | Kom Berkovitsa(away) | 0-3 | Third League - Northwest |
| Sep 23, 2018 | Vihar Slavyanovo(home) | 0-1 | Third League - Northwest |
| Sep 16, 2018 | Bdin(away) | 1-6 | Third League - Northwest |
| Sep 9, 2018 | Lokomotiv Mezdra(home) | 1-2 | Third League - Northwest |
How many goals should we expect?
Spartak Pleven score 1.8 and concede 1.3 goals per match over their last 15; Lokomotiv Dryanovo score 0.9 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spartak Pleven | 1.8 | 1.3 | 7 | 7/15 | 9/15 |
| Lokomotiv Dryanovo | 0.9 | 3.1 | 1 | 5/9 | 6/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Lokomotiv Dryanovo | 24 | 4 | 7 | 13 | 22 | 43 | 19 |
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