Logan Lightning vs Gold Coast Knights: result 1-2 and analysis
Queensland NPLRegular Season - 6Kick-off on April 17, 2021 at 06:15 AM (UTC)Cornubia Park, Brisbane
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What was the result of Logan Lightning vs Gold Coast Knights?
Gold Coast Knights won 1-2 on April 17, 2021.
Goalscorers
- 66′M. BrownGold Coast Knights
- 84′C. TipaldoGold Coast Knights
- 90′307635Logan Lightning
What is the recent form of both teams?
Over their last 15 matches in all competitions, Logan Lightning have 5 wins, 1 draws and 9 defeats; Gold Coast Knights have 11, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2021 | Brisbane Strikers(away) | 3-0 | Queensland NPL |
| Mar 27, 2021 | Lions(home) | 1-1 | Queensland NPL |
| Mar 13, 2021 | Eastern Suburbs(home) | 2-0 | Queensland NPL |
| Mar 5, 2021 | Peninsula Power(away) | 1-5 | Queensland NPL |
| Aug 19, 2017 | Lions(away) | 0-6 | Brisbane Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2021 | Brisbane Roar II(home) | 2-1 | Queensland NPL |
| Mar 28, 2021 | Capalaba(home) | 2-0 | Queensland NPL |
| Mar 20, 2021 | Magpies Crusaders(home) | 4-0 | Queensland NPL |
| Mar 14, 2021 | Brisbane Strikers(away) | 3-2 | Queensland NPL |
| Mar 6, 2021 | Lions(away) | 2-3 | Queensland NPL |
How many goals should we expect?
Logan Lightning score 1.5 and concede 2.2 goals per match over their last 15; Gold Coast Knights score 2.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Logan Lightning | 1.5 | 2.2 | 4 | 9/15 | 11/15 |
| Gold Coast Knights | 2.5 | 1.4 | 4 | 10/15 | 12/15 |
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