Belarus vs Luxembourg: result 1-0 and analysis
UEFA Nations LeagueLeague D - 3Kick-off on October 12, 2018 at 06:45 PM (UTC)Natsional'nyy Futbol'nyy Stadion, Minsk
Full time
What was the result of Belarus vs Luxembourg?
Belarus won 1-0 on October 12, 2018.
Goalscorers
- 43′A. SarokaBelarus
What is the recent form of both teams?
Over their last 15 matches in all competitions, Belarus have 5 wins, 4 draws and 6 defeats; Luxembourg have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2018 | Moldova(away) | 0-0 | UEFA Nations League |
| Sep 8, 2018 | San Marino(home) | 5-0 | UEFA Nations League |
| Jun 9, 2018 | Finland(away) | 0-2 | Friendlies |
| Jun 6, 2018 | Hungary(home) | 1-1 | Friendlies |
| Mar 27, 2018 | Slovenia(away) | 2-0 | Friendlies |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2018 | San Marino(away) | 3-0 | UEFA Nations League |
| Sep 8, 2018 | Moldova(home) | 4-0 | UEFA Nations League |
| Jun 5, 2018 | Georgia(home) | 1-0 | Friendlies |
| May 31, 2018 | Senegal(home) | 0-0 | Friendlies |
| Mar 27, 2018 | Austria(home) | 0-4 | Friendlies |
What does the head-to-head say?
Across the last 2 meetings: 0 Belarus win(s), 1 draw(s), 1 Luxembourg win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 31, 2017 | Luxembourg 1-0 Belarus | World Cup - Qualification Europe |
| Oct 10, 2016 | Belarus 1-1 Luxembourg | World Cup - Qualification Europe |
Last archived meeting: Luxembourg vs Belarus on Aug 31, 2017
How many goals should we expect?
Belarus score 1.1 and concede 1.3 goals per match over their last 15; Luxembourg score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Belarus | 1.1 | 1.3 | 6 | 6/15 | 7/15 |
| Luxembourg | 1.1 | 1.7 | 7 | 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