Serbia vs Lithuania: result 4-1 and analysis
UEFA Nations LeagueLeague C - 6Kick-off on November 20, 2018 at 07:45 PM (UTC)Stadion Rajko Mitić, Beograd
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What was the result of Serbia vs Lithuania?
Serbia won 4-1 on November 20, 2018.
Goalscorers
- 51′A. ŽulpaSerbia (o.g.)
- 58′A. MitrovićSerbia
- 64′D. PetravičiusLithuania
- 71′A. PrijovićSerbia
- 74′A. LjajićSerbia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Serbia have 8 wins, 3 draws and 4 defeats; Lithuania have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2018 | Montenegro(home) | 2-1 | UEFA Nations League |
| Oct 14, 2018 | Romania(away) | 0-0 | UEFA Nations League |
| Oct 11, 2018 | Montenegro(away) | 2-0 | UEFA Nations League |
| Sep 10, 2018 | Romania(home) | 2-2 | UEFA Nations League |
| Sep 7, 2018 | Lithuania(away) | 1-0 | UEFA Nations League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2018 | Romania(away) | 0-3 | UEFA Nations League |
| Oct 14, 2018 | Montenegro(home) | 1-4 | UEFA Nations League |
| Oct 11, 2018 | Romania(home) | 1-2 | UEFA Nations League |
| Sep 10, 2018 | Montenegro(away) | 0-2 | UEFA Nations League |
| Sep 7, 2018 | Serbia(home) | 0-1 | UEFA Nations League |
What does the head-to-head say?
Across the last 1 meetings: 1 Serbia win(s), 0 draw(s), 0 Lithuania win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 7, 2018 | Lithuania 0-1 Serbia | UEFA Nations League |
How many goals should we expect?
Serbia score 1.4 and concede 0.8 goals per match over their last 15; Lithuania score 0.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Serbia | 1.4 | 0.8 | 7 | 6/15 | 5/15 |
| Lithuania | 0.3 | 2.3 | 1 | 4/15 | 8/15 |
Over the last 15 matches in all competitions.
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