WDSC Wolves vs Albany Creek: result 4-1 and analysis
Brisbane Premier LeagueRegular Season - 21Kick-off on August 25, 2013 at 07:00 AM (UTC)Carmichael Park, Brisbane
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What was the result of WDSC Wolves vs Albany Creek?
WDSC Wolves won 4-1 on August 25, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, WDSC Wolves have 11 wins, 2 draws and 2 defeats; Albany Creek have 3, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2013 | North Star(away) | 3-1 | Brisbane Premier League |
| Aug 10, 2013 | Peninsula Power(home) | 1-4 | Brisbane Premier League |
| Aug 3, 2013 | Rochedale Rovers(away) | 0-5 | Brisbane Premier League |
| Jul 27, 2013 | Brisbane Force(away) | 2-0 | Brisbane Premier League |
| Jul 20, 2013 | Logan Lightning(home) | 7-1 | Brisbane Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2013 | Eastern Suburbs(home) | 1-6 | Brisbane Premier League |
| Aug 10, 2013 | Capalaba(away) | 0-2 | Brisbane Premier League |
| Jul 27, 2013 | Rochedale Rovers(home) | 2-0 | Brisbane Premier League |
| Jul 21, 2013 | Lions(away) | 0-1 | Brisbane Premier League |
| Jul 14, 2013 | Ipswich Knights(home) | 4-1 | Brisbane Premier League |
What does the head-to-head say?
Across the last 1 meetings: 1 WDSC Wolves win(s), 0 draw(s), 0 Albany Creek win(s).
| Date | Score | Competition |
|---|---|---|
| May 18, 2013 | Albany Creek 1-9 WDSC Wolves | Brisbane Premier League |
Last archived meeting: Albany Creek vs WDSC Wolves on May 18, 2013
How many goals should we expect?
WDSC Wolves score 3.6 and concede 1.2 goals per match over their last 15; Albany Creek score 1.0 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| WDSC Wolves | 3.6 | 1.2 | 6 | 8/15 | 11/15 |
| Albany Creek | 1.0 | 2.9 | 1 | 6/15 | 9/15 |
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