Brisbane Roar II vs Olympic: result 1-3 and analysis
Queensland NPLRegular Season - 14Kick-off on May 5, 2019 at 09:30 AM (UTC)OldMac Stadium (Underwood Park), Brisbane
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What was the result of Brisbane Roar II vs Olympic?
Olympic won 1-3 on May 5, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Brisbane Roar II have 3 wins, 2 draws and 7 defeats; Olympic have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2019 | Gold Coast Knights(away) | 0-3 | Queensland NPL |
| Apr 13, 2019 | Brisbane Strikers(away) | 0-1 | Queensland NPL |
| Apr 6, 2019 | Brisbane City(away) | 2-2 | Queensland NPL |
| Mar 31, 2019 | Eastern Suburbs(home) | 1-2 | Queensland NPL |
| Mar 26, 2019 | Lions(away) | 0-2 | Queensland NPL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2019 | Brisbane Strikers(home) | 1-1 | Queensland NPL |
| Apr 22, 2019 | Brisbane City(away) | 3-2 | Queensland NPL |
| Apr 17, 2019 | Eastern Suburbs(home) | 2-1 | Queensland NPL |
| Apr 6, 2019 | Lions(away) | 2-3 | Queensland NPL |
| Mar 31, 2019 | Moreton Bay United(home) | 1-0 | Queensland NPL |
How many goals should we expect?
Brisbane Roar II score 1.7 and concede 2.1 goals per match over their last 12; Olympic score 2.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brisbane Roar II | 1.7 | 2.1 | 0 | 8/12 | 9/12 |
| Olympic | 2.7 | 1.9 | 5 | 10/15 | 13/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
Brisbane Roar II sit 12th in Queensland NPL (16 points from 22 matches) and Olympic sit 8th (26 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Olympic | 22 | 8 | 2 | 12 | 39 | 43 | 26 |
| 12 | Brisbane Roar II | 22 | 5 | 1 | 16 | 32 | 52 | 16 |
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