Match

Mitchelton vs Albany Creek: result 2-1 and analysis

Brisbane Premier LeagueRegular Season - 20Kick-off on July 29, 2017 at 08:00 AM (UTC)Teralba Park, Mitchelton

Mitchelton
2-1
Albany Creek

Full time

What was the result of Mitchelton vs Albany Creek?

Mitchelton won 2-1 on July 29, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Mitchelton have 6 wins, 4 draws and 5 defeats; Albany Creek have 5, 4 and 6.

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

Mitchelton
DateOpponentScoreCompetition
Jul 22, 2017Lions(home)2-2Brisbane Premier League
Jul 15, 2017Capalaba(away)0-1Brisbane Premier League
Jul 8, 2017Capalaba(home)6-1Brisbane Premier League
Jul 1, 2017Holland Park Hawks(home)4-2Brisbane Premier League
Jun 24, 2017Peninsula Power(away)1-3Brisbane Premier League
Albany Creek
DateOpponentScoreCompetition
Jul 22, 2017Capalaba(away)4-2Brisbane Premier League
Jul 15, 2017Peninsula Power(home)1-1Brisbane Premier League
Jul 8, 2017Peninsula Power(away)0-1Brisbane Premier League
Jul 1, 2017Logan Lightning(away)0-2Brisbane Premier League
Jun 23, 2017Grange Thistle(home)1-3Brisbane Premier League

What does the head-to-head say?

Across the last 5 meetings: 1 Mitchelton win(s), 3 draw(s), 1 Albany Creek win(s).

DateScoreCompetition
Jun 9, 2017Albany Creek 2-2 MitcheltonBrisbane Premier League
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 Jun 9, 2017

How many goals should we expect?

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

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mitchelton2.31.7212/1512/15
Albany Creek1.71.9211/1510/15

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

Other matches in the same round

Ready to know everything about football?