Ludogorets II vs Montana: result 1-0 and analysis
Second LeagueRegular Season - 14Kick-off on November 3, 2017 at 12:30 PM (UTC)Sporten tsentar Ludogorets, Razgrad
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What was the result of Ludogorets II vs Montana?
Ludogorets II won 1-0 on November 3, 2017.
Goalscorers
- 40′João PauloLudogorets II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ludogorets II have 6 wins, 4 draws and 5 defeats; Montana have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2017 | Oborishte(away) | 0-0 | Second League |
| Oct 21, 2017 | Botev Vratsa(home) | 4-1 | Second League |
| Oct 15, 2017 | Strumska Slava(home) | 1-2 | Second League |
| Sep 30, 2017 | Botev Galabovo(away) | 0-0 | Second League |
| Sep 25, 2017 | Sozopol(home) | 1-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Botev Galabovo(home) | 3-1 | Second League |
| Oct 25, 2017 | Levski Sofia(home) | 0-1 | Cup |
| Oct 20, 2017 | Sozopol(away) | 5-0 | Second League |
| Oct 13, 2017 | Tsarsko Selo(home) | 1-0 | Second League |
| Oct 1, 2017 | Lokomotiv G. Oryahovitsa(away) | 1-1 | Second League |
How many goals should we expect?
Ludogorets II score 1.7 and concede 1.5 goals per match over their last 15; Montana score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ludogorets II | 1.7 | 1.5 | 4 | 11/15 | 11/15 |
| Montana | 1.5 | 0.8 | 5 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Ludogorets II sit 13th in Second League (6 points from 4 matches) and Montana sit 8th (7 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Montana | 5 | 2 | 1 | 2 | 9 | 8 | 7 |
| 13 | Ludogorets II | 4 | 2 | 0 | 2 | 3 | 5 | 6 |
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