Botev Novi Pazar vs Lokomotiv Ruse: result 3-0 and analysis
Third League - NortheastRegular Season - 7Kick-off on October 6, 2018 at 01:00 PM (UTC)Stadion Botev, Novi pazar
Full time
What was the result of Botev Novi Pazar vs Lokomotiv Ruse?
Botev Novi Pazar won 3-0 on October 6, 2018.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Botev Novi Pazar have 4 wins, 1 draws and 1 defeats; Lokomotiv Ruse have 2, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2018 | Volov Shumen(away) | 1-0 | Third League - Northeast |
| Sep 22, 2018 | Ustrem Donchevo(home) | 3-0 | Third League - Northeast |
| Sep 15, 2018 | Spartak Varna(away) | 1-6 | Third League - Northeast |
| Sep 1, 2018 | Suvorovo(home) | 2-1 | Third League - Northeast |
| Aug 25, 2018 | Kaliakra 1923(away) | 3-3 | Third League - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2018 | Septemvri Tervel(home) | 1-2 | Third League - Northeast |
| Sep 23, 2018 | Kubrat(away) | 1-1 | Third League - Northeast |
| Sep 16, 2018 | Svetkavitsa Targovishte(home) | 0-2 | Third League - Northeast |
| Aug 26, 2018 | Volov Shumen(away) | 2-1 | Third League - Northeast |
| Aug 19, 2018 | Ustrem Donchevo(home) | 1-0 | Third League - Northeast |
How many goals should we expect?
Botev Novi Pazar score 2.0 and concede 1.7 goals per match over their last 6; Lokomotiv Ruse score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Botev Novi Pazar | 2.0 | 1.7 | 3 | 3/6 | 4/6 |
| Lokomotiv Ruse | 1.0 | 1.2 | 1 | 3/5 | 2/5 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Botev Novi Pazar | 32 | 8 | 5 | 19 | 34 | 69 | 29 |
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