Mitchelton vs Albany Creek: result 0-0 and analysis
Brisbane Premier LeagueRegular Season - 22Kick-off on August 22, 2015 at 08:00 AM (UTC)Teralba Park, Mitchelton
Full time
What was the result of Mitchelton vs Albany Creek?
Mitchelton and Albany Creek drew 0-0 on August 22, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mitchelton have 7 wins, 6 draws and 2 defeats; Albany Creek have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 15, 2015 | Logan Lightning(away) | 0-0 | Brisbane Premier League |
| Jul 31, 2015 | Eastern Suburbs(home) | 0-3 | Brisbane Premier League |
| Jul 26, 2015 | Lions(away) | 0-0 | Brisbane Premier League |
| Jul 18, 2015 | Rochedale Rovers(home) | 1-3 | Brisbane Premier League |
| Jul 12, 2015 | Ipswich Knights(away) | 4-0 | Brisbane Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 15, 2015 | Univ. Queensland(home) | 5-1 | Brisbane Premier League |
| Aug 1, 2015 | Peninsula Power(home) | 3-1 | Brisbane Premier League |
| Jul 25, 2015 | Logan Lightning(away) | 3-2 | Brisbane Premier League |
| Jul 18, 2015 | Eastern Suburbs(home) | 0-2 | Brisbane Premier League |
| Jul 12, 2015 | Lions(away) | 1-1 | Brisbane Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Mitchelton win(s), 1 draw(s), 0 Albany Creek win(s).
| Date | Score | Competition |
|---|---|---|
| May 15, 2015 | Albany Creek 1-1 Mitchelton | Brisbane Premier League |
Last archived meeting: Albany Creek vs Mitchelton on May 15, 2015
How many goals should we expect?
Mitchelton score 2.0 and concede 1.2 goals per match over their last 15; Albany Creek score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mitchelton | 2.0 | 1.2 | 7 | 7/15 | 9/15 |
| Albany Creek | 1.7 | 1.4 | 2 | 10/15 | 8/15 |
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