Australia vs Serbia: result 2-1 and analysis
World CupGroup Stage - 3Kick-off on June 23, 2010 at 06:30 PM (UTC)CommBank Stadium, Sydney
Full time
What was the result of Australia vs Serbia?
Australia won 2-1 on June 23, 2010.
Goalscorers
- 69′T. CahillAustralia
- 73′B. HolmanAustralia
- 84′M. PantelićSerbia
Official lineup for Australia vs Serbia
The starting elevens fielded at kick-off.
Australia
- 9Josh Kennedy
- 4T. Cahill
- 5Jason Culina
- 7Brett Emerton
- 16C. Valeri
- 21D. Carney
- 23Mark Bresciano
- 2Lucas Neill
- 6Michael Beauchamp
- 8L. Wilkshire
- 1Mark Schwarzer
Serbia
- 14M. Jovanović
- 15Nikola Zigic
- 10Dejan Stankovic
- 17Miloš Krasić
- 18M. Ninković
- 22Z. Kuzmanović
- 5Nemanja Vidic
- 6B. Ivanović
- 13Aleksandar Luković
- 16Ivan Obradović
- 1V. Stojković
What is the recent form of both teams?
Over their last 2 matches in all competitions, Australia have 0 wins, 1 draw and 1 defeat; Serbia have 1, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2010 | Ghana(away) | 1-1 | World Cup |
| Jun 13, 2010 | Germany(away) | 0-4 | World Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2010 | Germany(away) | 1-0 | World Cup |
| Jun 13, 2010 | Ghana(home) | 0-1 | World Cup |
How many goals should we expect?
Australia score 0.5 and concede 2.5 goals per match over their last 2; Serbia score 0.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Australia | 0.5 | 2.5 | 0 | 1/2 | 1/2 |
| Serbia | 0.5 | 0.5 | 1 | 0/2 | 0/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Australia | 2 | 1 | 0 | 1 | 2 | 2 | 3 |
A question about Australia 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