Germany vs Serbia: result 0-1 and analysis
World CupGroup Stage - 2Kick-off on June 18, 2010 at 11:30 AM (UTC)Europa-Park Stadion, Freiburg im Breisgau
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What was the result of Germany vs Serbia?
Serbia won 0-1 on June 18, 2010.
Goalscorers
- 38′M. JovanovićSerbia
Official lineup for Germany vs Serbia
The starting elevens fielded at kick-off.
Germany
- 10Ł. Podolski
- 11Miroslav Klose
- 13T. Müller
- 6S. Khedira
- 7B. Schweinsteiger
- 8M. Özil
- 3Arne Friedrich
- 14H. Badstuber
- 16P. Lahm
- 17P. Mertesacker
- 1M. Neuer
Serbia
- 14M. Jovanović
- 15Nikola Zigic
- 10Dejan Stankovic
- 17Miloš Krasić
- 18M. Ninković
- 22Z. Kuzmanović
- 3A. Kolarov
- 5Nemanja Vidic
- 6B. Ivanović
- 20N. Subotić
- 1V. Stojković
What is the recent form of both teams?
Over their last 7 matches in all competitions, Germany have 5 wins, 0 draws and 2 defeats; Serbia have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2010 | Australia(home) | 4-0 | World Cup |
| Jun 29, 2008 | Spain(home) | 0-1 | Euro Championship |
| Jun 25, 2008 | Türkiye(home) | 3-2 | Euro Championship |
| Jun 19, 2008 | Portugal(away) | 3-2 | Euro Championship |
| Jun 16, 2008 | Austria(away) | 1-0 | Euro Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2010 | Ghana(home) | 0-1 | World Cup |
How many goals should we expect?
Germany score 2.0 and concede 1.0 goals per match over their last 7; Serbia score 0.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Germany | 2.0 | 1.0 | 3 | 3/7 | 4/7 |
| Serbia | 0.0 | 1.0 | 0 | 0/1 | 0/1 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Germany | 1 | 1 | 0 | 0 | 7 | 1 | 3 |
A question about Germany vs Serbia?
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