Botev Vratsa vs Pomorie: result 2-1 and analysis
Second LeagueRegular Season - 22Kick-off on April 1, 2017 at 02:00 PM (UTC)Stadion Hristo Botev, Vratsa
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What was the result of Botev Vratsa vs Pomorie?
Botev Vratsa won 2-1 on April 1, 2017.
Goalscorers
- 1′10870Botev Vratsa
- 55′78091Botev Vratsa
- 76′Hristo LemperovPomorie
What is the recent form of both teams?
Over their last 15 matches in all competitions, Botev Vratsa have 3 wins, 7 draws and 5 defeats; Pomorie have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2017 | Septemvri Sofia(away) | 1-1 | Second League |
| Mar 11, 2017 | Spartak Pleven(home) | 1-1 | Second League |
| Mar 5, 2017 | Oborishte(away) | 0-1 | Second League |
| Feb 25, 2017 | Levski Karlovo(home) | 2-1 | Second League |
| Dec 9, 2016 | Bansko(away) | 3-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 20, 2017 | Etar Veliko Tarnovo(home) | 2-0 | Second League |
| Mar 11, 2017 | Lokomotiv Sofia(away) | 0-3 | Second League |
| Mar 6, 2017 | Ludogorets II(home) | 0-1 | Second League |
| Feb 27, 2017 | Septemvri Sofia(home) | 1-2 | Second League |
| Dec 10, 2016 | Spartak Pleven(away) | 1-0 | Second League |
What does the head-to-head say?
Across the last 1 meetings: 0 Botev Vratsa win(s), 1 draw(s), 0 Pomorie win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 25, 2016 | Pomorie 0-0 Botev Vratsa | Second League |
Last archived meeting: Pomorie vs Botev Vratsa on Sep 25, 2016
How many goals should we expect?
Botev Vratsa score 1.1 and concede 1.2 goals per match over their last 15; Pomorie score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Botev Vratsa | 1.1 | 1.2 | 3 | 10/15 | 6/15 |
| Pomorie | 1.6 | 1.1 | 4 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
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