Montana vs Pomorie: result 2-1 and analysis
Second LeagueRegular Season - 23Kick-off on April 4, 2018 at 03:30 PM (UTC)Stadion Ogosta, Montana
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What was the result of Montana vs Pomorie?
Montana won 2-1 on April 4, 2018.
Goalscorers
- 28′A. AhmedovPomorie
- 54′Sergey Sergeev GeorgievMontana
- 68′I. KokonovMontana
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; Pomorie have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2018 | Nesebar(away) | 1-1 | Second League |
| Mar 17, 2018 | Chernomorets Balchik(home) | 4-0 | Second League |
| Mar 10, 2018 | Neftochimic Burgas(away) | 3-0 | Second League |
| Mar 5, 2018 | Lokomotiv Sofia(home) | 4-0 | Second League |
| Feb 24, 2018 | Maritsa Plovdiv(away) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2018 | Oborishte(home) | 1-0 | Second League |
| Mar 17, 2018 | Botev Vratsa(away) | 0-1 | Second League |
| Mar 12, 2018 | Ludogorets II(home) | 0-1 | Second League |
| Mar 5, 2018 | Botev Galabovo(away) | 1-0 | Second League |
| Feb 25, 2018 | Sozopol(home) | 1-1 | Second League |
What does the head-to-head say?
Across the last 1 meetings: 1 Montana win(s), 0 draw(s), 0 Pomorie win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 16, 2017 | Pomorie 0-2 Montana | Second League |
How many goals should we expect?
Montana score 1.8 and concede 0.6 goals per match over their last 15; Pomorie score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montana | 1.8 | 0.6 | 6 | 5/15 | 6/15 |
| Pomorie | 1.3 | 1.2 | 3 | 8/15 | 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