Match

Acacia Ridge vs Univ. Queensland: result 2-1 and analysis

Brisbane Premier LeagueRegular Season - 20Kick-off on August 11, 2018 at 07:00 AM (UTC)Ron Proud Field 1, Acacia Ridge

Acacia Ridge
2-1
Univ. Queensland

Full time

What was the result of Acacia Ridge vs Univ. Queensland?

Acacia Ridge won 2-1 on August 11, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Acacia Ridge have 6 wins, 1 draws and 8 defeats; Univ. Queensland have 8, 2 and 5.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Acacia Ridge
DateOpponentScoreCompetition
Jul 28, 2018Virginia United(away)4-1Brisbane Premier League
Jul 20, 2018Brisbane Knights(away)0-0Brisbane Premier League
Jul 13, 2018The Gap(home)0-1Brisbane Premier League
Jun 30, 2018Grange Thistle(away)2-1Brisbane Premier League
Jun 23, 2018Albany Creek(home)1-2Brisbane Premier League
Univ. Queensland
DateOpponentScoreCompetition
Jul 29, 2018Brisbane Knights(home)2-0Brisbane Premier League
Jul 21, 2018The Gap(home)1-2Brisbane Premier League
Jul 14, 2018Grange Thistle(home)3-2Brisbane Premier League
Jun 30, 2018Albany Creek(home)2-2Brisbane Premier League
Jun 24, 2018North Pine(home)2-1Brisbane Premier League

What does the head-to-head say?

Across the last 1 meetings: 0 Acacia Ridge win(s), 0 draw(s), 1 Univ. Queensland win(s).

DateScoreCompetition
Apr 28, 2018Univ. Queensland 4-3 Acacia RidgeBrisbane Premier League

Last archived meeting: Univ. Queensland vs Acacia Ridge on Apr 28, 2018

How many goals should we expect?

Acacia Ridge score 1.7 and concede 1.8 goals per match over their last 15; Univ. Queensland score 1.8 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Acacia Ridge1.71.8110/1511/15
Univ. Queensland1.81.749/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
11Univ. Queensland811613224

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

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