Serbia vs Luxembourg: result 3-2 and analysis
Euro ChampionshipQualifying Round - 9Kick-off on November 14, 2019 at 07:45 PM (UTC)Stadion Rajko Mitić, Beograd
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What was the result of Serbia vs Luxembourg?
Serbia won 3-2 on November 14, 2019.
Goalscorers
- 11′A. MitrovićSerbia
- 43′A. MitrovićSerbia
- 54′G. RodriguesLuxembourg
- 70′N. RadonjićSerbia
- 75′D. TurpelLuxembourg
What is the recent form of both teams?
Over their last 15 matches in all competitions, Serbia have 8 wins, 4 draws and 3 defeats; Luxembourg have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2019 | Lithuania(away) | 2-1 | Euro Championship |
| Oct 10, 2019 | Paraguay(home) | 1-0 | Friendlies |
| Sep 10, 2019 | Luxembourg(away) | 3-1 | Euro Championship |
| Sep 7, 2019 | Portugal(home) | 2-4 | Euro Championship |
| Jun 10, 2019 | Lithuania(home) | 4-1 | Euro Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2019 | Denmark(away) | 0-4 | Friendlies |
| Oct 11, 2019 | Portugal(away) | 0-3 | Euro Championship |
| Sep 10, 2019 | Serbia(home) | 1-3 | Euro Championship |
| Sep 5, 2019 | Northern Ireland(away) | 0-1 | Friendlies |
| Jun 10, 2019 | Ukraine(away) | 0-1 | Euro Championship |
What does the head-to-head say?
Across the last 1 meetings: 1 Serbia win(s), 0 draw(s), 0 Luxembourg win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2019 | Luxembourg 1-3 Serbia | Euro Championship |
How many goals should we expect?
Serbia score 1.7 and concede 1.3 goals per match over their last 15; Luxembourg score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Serbia | 1.7 | 1.3 | 4 | 9/15 | 8/15 |
| Luxembourg | 1.3 | 1.5 | 3 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Serbia | 3 | 0 | 2 | 1 | 1 | 2 | 2 |
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