Botev Vratsa vs Montana: result 2-1 and analysis
Second LeagueRegular Season - 30Kick-off on May 19, 2018 at 02:15 PM (UTC)Stadion Hristo Botev, Vratsa
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What was the result of Botev Vratsa vs Montana?
Botev Vratsa won 2-1 on May 19, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Botev Vratsa have 9 wins, 4 draws and 2 defeats; Montana have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2018 | Oborishte(away) | 2-0 | Second League |
| May 6, 2018 | Strumska Slava(away) | 2-0 | Second League |
| Apr 28, 2018 | Ludogorets II(home) | 5-0 | Second League |
| Apr 23, 2018 | Botev Galabovo(away) | 4-0 | Second League |
| Apr 19, 2018 | Sozopol(home) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2018 | Ludogorets II(home) | 4-0 | Second League |
| May 5, 2018 | Botev Galabovo(away) | 2-0 | Second League |
| Apr 28, 2018 | Sozopol(home) | 2-1 | Second League |
| Apr 23, 2018 | Tsarsko Selo(away) | 1-1 | Second League |
| Apr 19, 2018 | Lokomotiv G. Oryahovitsa(home) | 1-0 | Second League |
What does the head-to-head say?
Across the last 1 meetings: 1 Botev Vratsa win(s), 0 draw(s), 0 Montana win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 19, 2017 | Montana 0-1 Botev Vratsa | Second League |
Last archived meeting: Montana vs Botev Vratsa on Nov 19, 2017
How many goals should we expect?
Botev Vratsa score 1.7 and concede 0.6 goals per match over their last 15; Montana score 1.9 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Botev Vratsa | 1.7 | 0.6 | 9 | 4/15 | 5/15 |
| Montana | 1.9 | 0.5 | 8 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Montana | 5 | 2 | 1 | 2 | 9 | 8 | 7 |
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