Peninsula Power vs Gold Coast Knights: result 2-1 and analysis
Queensland NPLRegular Season - 6Kick-off on March 9, 2019 at 08:00 AM (UTC)A.J. Kelly Park, Brisbane
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What was the result of Peninsula Power vs Gold Coast Knights?
Peninsula Power won 2-1 on March 9, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Peninsula Power have 13 wins, 1 draws and 1 defeats; Gold Coast Knights have 4, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2019 | Brisbane Roar II(away) | 3-0 | Queensland NPL |
| Feb 23, 2019 | Brisbane Strikers(away) | 2-1 | Queensland NPL |
| Feb 16, 2019 | Brisbane City(home) | 3-1 | Queensland NPL |
| Feb 9, 2019 | Eastern Suburbs(away) | 3-2 | Queensland NPL |
| Feb 2, 2019 | Lions(away) | 2-1 | Queensland NPL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2019 | SC Wanderers(home) | 2-1 | Queensland NPL |
| Feb 22, 2019 | Redlands United(away) | 8-0 | Queensland NPL |
| Feb 17, 2019 | SWQ Thunder(home) | 4-1 | Queensland NPL |
| Feb 9, 2019 | Western Pride(away) | 3-2 | Queensland NPL |
| Feb 2, 2019 | Magpies Crusaders(home) | 1-1 | Queensland NPL |
How many goals should we expect?
Peninsula Power score 2.7 and concede 0.8 goals per match over their last 15; Gold Coast Knights score 3.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Peninsula Power | 2.7 | 0.8 | 5 | 9/15 | 11/15 |
| Gold Coast Knights | 3.6 | 1.0 | 1 | 4/5 | 4/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Peninsula Power sit 2nd in Queensland NPL (45 points from 22 matches) and Gold Coast Knights sit 4th (38 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Peninsula Power | 22 | 13 | 6 | 3 | 49 | 27 | 45 |
| 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