Ludogorets II vs Strumska Slava: result 1-2 and analysis
Second LeagueRegular Season - 11Kick-off on October 15, 2017 at 01:00 PM (UTC)Sporten tsentar Ludogorets, Razgrad
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What was the result of Ludogorets II vs Strumska Slava?
Strumska Slava won 1-2 on October 15, 2017.
Goalscorers
- 14′S. KovachevLudogorets II
- 36′A. AsparuhovStrumska Slava
- 90′10794Strumska Slava
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; Strumska Slava have 4, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Botev Galabovo(away) | 0-0 | Second League |
| Sep 25, 2017 | Sozopol(home) | 1-0 | Second League |
| Sep 16, 2017 | Tsarsko Selo(away) | 2-3 | Second League |
| Sep 10, 2017 | Lokomotiv G. Oryahovitsa(home) | 2-2 | Second League |
| Aug 25, 2017 | Litex(away) | 1-4 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Chernomorets Balchik(home) | 0-2 | Second League |
| Sep 24, 2017 | Botev Galabovo(away) | 0-1 | Second League |
| Sep 20, 2017 | Sozopol(home) | 2-1 | Cup |
| Sep 15, 2017 | Neftochimic Burgas(home) | 1-0 | Second League |
| Sep 9, 2017 | Sozopol(away) | 1-2 | Second League |
How many goals should we expect?
Ludogorets II score 1.5 and concede 1.6 goals per match over their last 15; Strumska Slava score 1.4 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ludogorets II | 1.5 | 1.6 | 3 | 11/15 | 10/15 |
| Strumska Slava | 1.4 | 2.0 | 2 | 6/11 | 6/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Ludogorets II | 11 | 4 | 3 | 4 | 12 | 12 | 15 |
A question about Ludogorets II vs Strumska Slava?
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