Capalaba vs Gold Coast Knights: result 1-3 and analysis
Queensland NPLRegular Season - 7Kick-off on September 5, 2020 at 08:45 AM (UTC)Max Haynes Field, Redland
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What was the result of Capalaba vs Gold Coast Knights?
Gold Coast Knights won 1-3 on September 5, 2020.
Goalscorers
- 12′?Capalaba
- 16′?Gold Coast Knights (o.g.)
- 68′H. SawyerGold Coast Knights
- 70′M. BrownGold Coast Knights
What is the recent form of both teams?
Over their last 15 matches in all competitions, Capalaba have 5 wins, 2 draws and 8 defeats; Gold Coast Knights have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2020 | Brisbane Strikers(home) | 2-2 | Queensland NPL |
| Aug 29, 2020 | Peninsula Power(away) | 0-2 | Queensland NPL |
| Aug 25, 2020 | Moreton Bay United(away) | 5-3 | Queensland NPL |
| Aug 22, 2020 | Brisbane City(home) | 2-3 | Queensland NPL |
| Aug 16, 2020 | Gold Coast United(away) | 1-2 | Queensland NPL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2020 | SC Wanderers(away) | 1-4 | Queensland NPL |
| Aug 25, 2020 | Brisbane City(home) | 2-2 | Queensland NPL |
| Aug 22, 2020 | Brisbane Roar II(home) | 1-0 | Queensland NPL |
| Aug 8, 2020 | Brisbane City(away) | 1-0 | Queensland NPL |
| Aug 2, 2020 | Moreton Bay United(home) | 1-1 | Queensland NPL |
How many goals should we expect?
Capalaba score 1.7 and concede 2.5 goals per match over their last 15; Gold Coast Knights score 2.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Capalaba | 1.7 | 2.5 | 1 | 9/15 | 13/15 |
| Gold Coast Knights | 2.3 | 1.1 | 5 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Gold Coast Knights | 22 | 11 | 5 | 6 | 46 | 32 | 38 |
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