Pirin Blagoevgrad vs Nesebar: result 1-3 and analysis
Second LeagueRegular Season - 10Kick-off on October 6, 2018 at 01:00 PM (UTC)Stadion Hristo Botev, Blagoevgrad
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What was the result of Pirin Blagoevgrad vs Nesebar?
Nesebar won 1-3 on October 6, 2018.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Pirin Blagoevgrad have 3 wins, 0 draws and 8 defeats; Nesebar have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2018 | CSKA 1948(home) | 1-2 | Second League |
| Sep 27, 2018 | Slavia Sofia(home) | 0-2 | Cup |
| Sep 21, 2018 | Litex(away) | 1-3 | Second League |
| Sep 15, 2018 | Strumska Slava(home) | 3-0 | Second League |
| Sep 1, 2018 | Kariana Erden(away) | 1-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2018 | Litex(home) | 0-0 | Second League |
| Sep 26, 2018 | Ludogorets(home) | 1-3 | Cup |
| Sep 21, 2018 | Strumska Slava(away) | 2-2 | Second League |
| Sep 15, 2018 | Kariana Erden(home) | 1-1 | Second League |
| Sep 1, 2018 | Botev Galabovo(away) | 0-2 | Second League |
How many goals should we expect?
Pirin Blagoevgrad score 0.9 and concede 1.8 goals per match over their last 11; Nesebar score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pirin Blagoevgrad | 0.9 | 1.8 | 2 | 5/11 | 7/11 |
| Nesebar | 1.1 | 1.7 | 3 | 7/15 | 7/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
Pirin Blagoevgrad sit 18th in Second League (1 point from 12 matches) and Nesebar sit 7th (18 points from 12 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Nesebar | 12 | 5 | 3 | 4 | 20 | 17 | 18 |
| 18 | Pirin Blagoevgrad | 12 | 0 | 1 | 11 | 5 | 34 | 1 |
A question about Pirin Blagoevgrad vs Nesebar?
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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