Ludogorets II vs Botev Vratsa: result 0-2 and analysis
Second LeagueRegular Season - 10Kick-off on October 23, 2016 at 01:00 PM (UTC)Sporten tsentar Ludogorets, Razgrad
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What was the result of Ludogorets II vs Botev Vratsa?
Botev Vratsa won 0-2 on October 23, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Ludogorets II have 3 wins, 3 draws and 3 defeats; Botev Vratsa have 3, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Bansko(away) | 0-0 | Second League |
| Sep 30, 2016 | Etar Veliko Tarnovo(home) | 1-0 | Second League |
| Sep 25, 2016 | Nesebar(away) | 4-1 | Second League |
| Sep 15, 2016 | Lokomotiv Sofia(home) | 0-0 | Second League |
| Sep 10, 2016 | Tsarsko Selo(away) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2016 | Etar Veliko Tarnovo(away) | 1-1 | Second League |
| Oct 1, 2016 | Lokomotiv Sofia(home) | 0-0 | Second League |
| Sep 25, 2016 | Pomorie(away) | 0-0 | Second League |
| Sep 17, 2016 | Septemvri Sofia(home) | 0-0 | Second League |
| Sep 10, 2016 | Spartak Pleven(away) | 1-1 | Second League |
How many goals should we expect?
Ludogorets II score 1.1 and concede 0.8 goals per match over their last 9; Botev Vratsa score 1.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ludogorets II | 1.1 | 0.8 | 5 | 2/9 | 3/9 |
| Botev Vratsa | 1.2 | 0.7 | 4 | 4/9 | 3/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Ludogorets II | 11 | 4 | 3 | 4 | 12 | 12 | 15 |
A question about Ludogorets II vs Botev Vratsa?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy