Brisbane Roar vs Melbourne City: result 1-2 and analysis
A-LeagueRegular Season - 10Kick-off on December 9, 2011 at 09:00 AM (UTC)Suncorp Stadium, Brisbane
Full time
What was the result of Brisbane Roar vs Melbourne City?
Melbourne City won 1-2 on December 9, 2011.
Goalscorers
- 11′128578Melbourne City
- 27′Eli BabaljMelbourne City
- 77′M. NicholsBrisbane Roar
What is the recent form of both teams?
Over their last 9 matches in all competitions, Brisbane Roar have 6 wins, 2 draws and 1 defeats; Melbourne City have 3, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2011 | Sydney(away) | 0-2 | A-League |
| Nov 26, 2011 | Perth Glory(home) | 4-0 | A-League |
| Nov 19, 2011 | Newcastle Jets(away) | 2-1 | A-League |
| Nov 13, 2011 | Wellington Phoenix(home) | 1-1 | A-League |
| Nov 5, 2011 | Melbourne Victory(away) | 2-2 | A-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2011 | Wellington Phoenix(home) | 1-0 | A-League |
| Nov 26, 2011 | Central Coast Mariners(away) | 1-3 | A-League |
| Nov 18, 2011 | Gold Coast United(away) | 2-1 | A-League |
| Nov 12, 2011 | Newcastle Jets(home) | 3-0 | A-League |
| Nov 4, 2011 | Adelaide United(away) | 1-1 | A-League |
How many goals should we expect?
Brisbane Roar score 2.4 and concede 0.8 goals per match over their last 9; Melbourne City score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brisbane Roar | 2.4 | 0.8 | 4 | 4/9 | 5/9 |
| Melbourne City | 1.3 | 1.2 | 3 | 6/9 | 5/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Brisbane Roar sit 11th in A-League (26 points from 26 matches) and Melbourne City sit 6th (38 points from 26 matches).
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Melbourne City | 26 | 10 | 8 | 8 | 33 | 33 | 38 |
| 11 | Brisbane Roar | 26 | 6 | 8 | 12 | 27 | 36 | 26 |
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