Dandenong Thunder vs Green Gully: result 2-4 and analysis
Victoria NPLRegular Season - 12Kick-off on May 11, 2019 at 09:00 AM (UTC)George Andrews Reserve, Melbourne
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What was the result of Dandenong Thunder vs Green Gully?
Green Gully won 2-4 on May 11, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Dandenong Thunder have 3 wins, 3 draws and 5 defeats; Green Gully have 6, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2019 | Pascoe Vale(away) | 1-1 | Victoria NPL |
| Apr 27, 2019 | South Melbourne(home) | 2-2 | Victoria NPL |
| Apr 13, 2019 | Avondale(away) | 2-6 | Victoria NPL |
| Apr 6, 2019 | Port Melbourne(home) | 0-3 | Victoria NPL |
| Mar 29, 2019 | Dandenong City(away) | 4-3 | Victoria NPL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2019 | Hume City(home) | 1-0 | Victoria NPL |
| Apr 26, 2019 | Melbourne Knights(away) | 1-2 | Victoria NPL |
| Apr 15, 2019 | Kingston City(away) | 4-0 | Victoria NPL |
| Apr 6, 2019 | Pascoe Vale(home) | 4-0 | Victoria NPL |
| Mar 31, 2019 | South Melbourne(away) | 1-1 | Victoria NPL |
How many goals should we expect?
Dandenong Thunder score 1.6 and concede 2.5 goals per match over their last 11; Green Gully score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dandenong Thunder | 1.6 | 2.5 | 0 | 8/11 | 9/11 |
| Green Gully | 2.1 | 1.5 | 5 | 6/11 | 7/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
Dandenong Thunder sit 14th in Victoria NPL (15 points from 25 matches) and Green Gully sit 13th (15 points from 25 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Green Gully | 25 | 3 | 6 | 16 | 21 | 51 | 15 |
| 14 | Dandenong Thunder | 25 | 4 | 3 | 18 | 23 | 59 | 15 |
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