Strumska Slava vs Nesebar: result 0-1 and analysis
Second LeagueRegular Season - 12Kick-off on October 20, 2017 at 01:00 PM (UTC)Gradski stadion, Radomir
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What was the result of Strumska Slava vs Nesebar?
Nesebar won 0-1 on October 20, 2017.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Strumska Slava have 5 wins, 0 draws and 7 defeats; Nesebar have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2017 | Ludogorets II(away) | 2-1 | Second League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Chernomorets Balchik(away) | 2-3 | Second League |
| Sep 30, 2017 | Neftochimic Burgas(home) | 2-1 | Second League |
| Sep 24, 2017 | Lokomotiv Sofia(away) | 1-4 | Second League |
| Sep 19, 2017 | CSKA Sofia(home) | 1-4 | Cup |
| Sep 15, 2017 | Maritsa Plovdiv(home) | 4-0 | Second League |
How many goals should we expect?
Strumska Slava score 1.4 and concede 1.9 goals per match over their last 12; Nesebar score 1.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Strumska Slava | 1.4 | 1.9 | 2 | 7/12 | 7/12 |
| Nesebar | 1.7 | 1.8 | 2 | 12/15 | 12/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Nesebar | 12 | 5 | 3 | 4 | 20 | 17 | 18 |
A question about Strumska Slava vs Nesebar?
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