South Melbourne vs Green Gully: result 1-1 and analysis
Victoria NPLRegular Season - 7Kick-off on March 31, 2019 at 04:00 AM (UTC)Lakeside Stadium, Melbourne
Full time
What was the result of South Melbourne vs Green Gully?
South Melbourne and Green Gully drew 1-1 on March 31, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, South Melbourne have 2 wins, 0 draws and 4 defeats; Green Gully have 3, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 22, 2019 | Pascoe Vale(away) | 0-2 | Victoria NPL |
| Mar 18, 2019 | Kingston City(away) | 0-1 | Victoria NPL |
| Mar 9, 2019 | Avondale(away) | 0-4 | Victoria NPL |
| Mar 2, 2019 | Port Melbourne(away) | 2-1 | Victoria NPL |
| Feb 22, 2019 | Dandenong City(home) | 1-0 | Victoria NPL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2019 | Avondale(home) | 2-5 | Victoria NPL |
| Mar 15, 2019 | Port Melbourne(away) | 2-0 | Victoria NPL |
| Mar 9, 2019 | Dandenong City(home) | 2-3 | Victoria NPL |
| Mar 1, 2019 | Bentleigh Greens(away) | 1-3 | Victoria NPL |
| Feb 23, 2019 | Heidelberg United(home) | 4-2 | Victoria NPL |
How many goals should we expect?
South Melbourne score 0.7 and concede 1.8 goals per match over their last 6; Green Gully score 2.0 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| South Melbourne | 0.7 | 1.8 | 1 | 2/6 | 3/6 |
| Green Gully | 2.0 | 2.2 | 2 | 4/6 | 4/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
South Melbourne sit 5th in Victoria NPL (41 points from 25 matches) and Green Gully sit 13th (15 points from 25 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | South Melbourne | 25 | 13 | 2 | 10 | 39 | 35 | 41 |
| 13 | Green Gully | 25 | 3 | 6 | 16 | 21 | 51 | 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