Montana vs Sozopol: result 2-1 and analysis
Second LeagueRegular Season - 27Kick-off on April 28, 2018 at 03:30 PM (UTC)Stadion Ogosta, Montana
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What was the result of Montana vs Sozopol?
Montana won 2-1 on April 28, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Montana have 8 wins, 3 draws and 4 defeats; Sozopol have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2018 | Tsarsko Selo(away) | 1-1 | Second League |
| Apr 19, 2018 | Lokomotiv G. Oryahovitsa(home) | 1-0 | Second League |
| Apr 14, 2018 | Litex(away) | 1-0 | Second League |
| Apr 4, 2018 | Pomorie(home) | 2-1 | Second League |
| Mar 31, 2018 | Nesebar(away) | 1-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2018 | Oborishte(home) | 1-3 | Second League |
| Apr 19, 2018 | Botev Vratsa(away) | 1-0 | Second League |
| Apr 15, 2018 | Ludogorets II(home) | 1-2 | Second League |
| Apr 10, 2018 | Litex(home) | 1-1 | Second League |
| Apr 6, 2018 | Botev Galabovo(away) | 0-2 | Second League |
What does the head-to-head say?
In the last meeting: 1 Montana win, 0 draws, 0 Sozopol wins.
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2017 | Sozopol 0-5 Montana | Second League |
How many goals should we expect?
Montana score 1.5 and concede 0.6 goals per match over their last 15; Sozopol score 0.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montana | 1.5 | 0.6 | 6 | 5/15 | 5/15 |
| Sozopol | 0.6 | 1.5 | 3 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Montana | 12 | 3 | 2 | 7 | 15 | 26 | 11 |
A question about Montana vs Sozopol?
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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