Match

Albany Creek vs Mitchelton: result 2-2 and analysis

Brisbane Premier LeagueRegular Season - 9Kick-off on June 9, 2017 at 10:30 AM (UTC)Wolter Park, Brisbane

Albany Creek
2-2
Mitchelton

Full time

What was the result of Albany Creek vs Mitchelton?

Albany Creek and Mitchelton drew 2-2 on June 9, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Albany Creek have 7 wins, 4 draws and 4 defeats; Mitchelton have 8, 2 and 5.

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

Albany Creek
DateOpponentScoreCompetition
Jun 3, 2017Lions(away)1-3Brisbane Premier League
May 27, 2017Holland Park Hawks(away)2-5Brisbane Premier League
May 19, 2017Ipswich Knights(home)3-0Brisbane Premier League
May 13, 2017Souths United(home)4-1Brisbane Premier League
Apr 29, 2017Rochedale Rovers(away)1-4Brisbane Premier League
Mitchelton
DateOpponentScoreCompetition
Jun 3, 2017Logan Lightning(away)3-2Brisbane Premier League
May 27, 2017Souths United(away)1-3Brisbane Premier League
May 19, 2017Grange Thistle(home)4-1Brisbane Premier League
May 13, 2017Rochedale Rovers(home)2-2Brisbane Premier League
Apr 29, 2017Eastern Suburbs(away)3-4Brisbane Premier League

What does the head-to-head say?

Across the last 4 meetings: 1 Albany Creek win(s), 2 draw(s), 1 Mitchelton win(s).

DateScoreCompetition
Jul 30, 2016Albany Creek 2-1 MitcheltonBrisbane Premier League
Apr 23, 2016Mitchelton 1-0 Albany CreekBrisbane Premier League
Aug 22, 2015Mitchelton 0-0 Albany CreekBrisbane Premier League
May 15, 2015Albany Creek 1-1 MitcheltonBrisbane Premier League

Last archived meeting: Albany Creek vs Mitchelton on Jul 30, 2016

How many goals should we expect?

Albany Creek score 1.9 and concede 1.7 goals per match over their last 15; Mitchelton score 2.3 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Albany Creek1.91.7411/1511/15
Mitchelton2.31.7410/1513/15

Over the last 15 matches in all competitions.

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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