Nesebar vs Litex: result 0-1 and analysis
Second LeagueRegular Season - 29Kick-off on May 13, 2018 at 03:00 PM (UTC)Gradski stadion, Nesebar
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What was the result of Nesebar vs Litex?
Litex won 0-1 on May 13, 2018.
Goalscorers
- 47′Metodi Nikolaev KostovLitex
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nesebar have 7 wins, 3 draws and 5 defeats; Litex have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Pomorie(away) | 1-3 | Second League |
| Apr 28, 2018 | Strumska Slava(home) | 0-0 | Second League |
| Apr 21, 2018 | Chernomorets Balchik(home) | 2-0 | Second League |
| Apr 18, 2018 | Neftochimic Burgas(away) | 1-0 | Second League |
| Apr 14, 2018 | Lokomotiv Sofia(home) | 1-3 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Chernomorets Balchik(home) | 4-0 | Second League |
| Apr 28, 2018 | Neftochimic Burgas(away) | 1-1 | Second League |
| Apr 22, 2018 | Lokomotiv Sofia(home) | 0-0 | Second League |
| Apr 19, 2018 | Maritsa Plovdiv(away) | 1-0 | Second League |
| Apr 14, 2018 | Montana(home) | 0-1 | Second League |
What does the head-to-head say?
Across the last 1 meetings: 0 Nesebar win(s), 0 draw(s), 1 Litex win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 5, 2017 | Litex 1-0 Nesebar | Second League |
How many goals should we expect?
Nesebar score 1.3 and concede 1.3 goals per match over their last 15; Litex score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nesebar | 1.3 | 1.3 | 7 | 7/15 | 6/15 |
| Litex | 0.7 | 0.9 | 5 | 4/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Nesebar | 5 | 3 | 0 | 2 | 12 | 8 | 9 |
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