Brisbane Knights vs Univ. Queensland: result 2-3 and analysis
Brisbane Premier LeagueRegular Season - 8Kick-off on April 20, 2018 at 10:30 AM (UTC)Brisbane Knights Sports Complex 1, Rocklea
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What was the result of Brisbane Knights vs Univ. Queensland?
Univ. Queensland won 2-3 on April 20, 2018.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Brisbane Knights have 3 wins, 0 draws and 2 defeats; Univ. Queensland have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2018 | Mt Gravatt(home) | 1-0 | Brisbane Premier League |
| Apr 14, 2018 | Acacia Ridge(away) | 1-4 | Brisbane Premier League |
| Apr 6, 2018 | Virginia United(home) | 3-2 | Brisbane Premier League |
| Mar 23, 2018 | The Gap(home) | 4-1 | Brisbane Premier League |
| Mar 16, 2018 | Grange Thistle(away) | 0-2 | Brisbane Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2018 | The Gap(away) | 0-3 | Brisbane Premier League |
| Apr 7, 2018 | Grange Thistle(away) | 1-5 | Brisbane Premier League |
| Mar 24, 2018 | Albany Creek(away) | 1-2 | Brisbane Premier League |
| Mar 17, 2018 | North Pine(away) | 2-0 | Brisbane Premier League |
| Mar 10, 2018 | Mt Gravatt(home) | 1-1 | Brisbane Premier League |
How many goals should we expect?
Brisbane Knights score 1.8 and concede 1.8 goals per match over their last 5; Univ. Queensland score 1.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brisbane Knights | 1.8 | 1.8 | 1 | 3/5 | 3/5 |
| Univ. Queensland | 1.1 | 2.0 | 3 | 8/15 | 9/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Univ. Queensland | 8 | 1 | 1 | 6 | 13 | 22 | 4 |
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