Litex vs Montana: result 0-1 and analysis
Second LeagueRegular Season - 24Kick-off on April 14, 2018 at 03:00 PM (UTC)Gradski stadion, Lovech
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What was the result of Litex vs Montana?
Montana won 0-1 on April 14, 2018.
Goalscorers
- 70′Sergey Sergeev GeorgievMontana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Litex have 4 wins, 4 draws and 7 defeats; Montana have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2018 | Sozopol(away) | 1-1 | Second League |
| Apr 6, 2018 | Oborishte(away) | 1-0 | Second League |
| Mar 31, 2018 | Botev Vratsa(home) | 0-0 | Second League |
| Mar 16, 2018 | Ludogorets II(away) | 1-1 | Second League |
| Mar 9, 2018 | Botev Galabovo(home) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2018 | Pomorie(home) | 2-1 | Second League |
| 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 |
What does the head-to-head say?
Across the last 1 meetings: 0 Litex win(s), 0 draw(s), 1 Montana win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 24, 2017 | Montana 2-1 Litex | Second League |
How many goals should we expect?
Litex score 0.5 and concede 1.1 goals per match over their last 15; Montana score 1.8 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Litex | 0.5 | 1.1 | 5 | 3/15 | 2/15 |
| Montana | 1.8 | 0.6 | 6 | 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