Maritsa Plovdiv vs Litex: result 0-1 and analysis
Second LeagueRegular Season - 25Kick-off on April 19, 2018 at 02:00 PM (UTC)Stadion Maritsa, Plovdiv
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What was the result of Maritsa Plovdiv vs Litex?
Litex won 0-1 on April 19, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maritsa Plovdiv have 5 wins, 5 draws and 5 defeats; Litex have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2018 | Pomorie(away) | 1-2 | Second League |
| Apr 5, 2018 | Nesebar(home) | 0-0 | Second League |
| Mar 31, 2018 | Chernomorets Balchik(away) | 0-1 | Second League |
| Mar 18, 2018 | Neftochimic Burgas(home) | 1-0 | Second League |
| Mar 10, 2018 | Lokomotiv Sofia(away) | 2-4 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2018 | Montana(home) | 0-1 | Second League |
| 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 |
What does the head-to-head say?
In the last meeting: 0 Maritsa Plovdiv wins, 1 draw, 0 Litex wins.
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2017 | Litex 1-1 Maritsa Plovdiv | Second League |
Last archived meeting: Litex vs Maritsa Plovdiv on Sep 30, 2017
How many goals should we expect?
Maritsa Plovdiv score 1.1 and concede 1.2 goals per match over their last 15; Litex score 0.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maritsa Plovdiv | 1.1 | 1.2 | 4 | 8/15 | 5/15 |
| Litex | 0.5 | 0.9 | 5 | 3/15 | 1/15 |
Over the last 15 matches in all competitions.
A question about Maritsa Plovdiv vs Litex?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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