APIA Leichhardt Tigers vs Mt Druitt Town: result 3-2 and analysis
New South Wales NPLRegular Season - 11Kick-off on May 19, 2019 at 05:30 AM (UTC)Lambert Park, Sydney
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What was the result of APIA Leichhardt Tigers vs Mt Druitt Town?
APIA Leichhardt Tigers won 3-2 on May 19, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, APIA Leichhardt Tigers have 5 wins, 3 draws and 2 defeats; Mt Druitt Town have 2, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | Manly United(home) | 1-1 | New South Wales NPL |
| May 4, 2019 | Sydney FC U23(away) | 3-1 | New South Wales NPL |
| Apr 25, 2019 | Sydney Olympic(away) | 1-3 | New South Wales NPL |
| Apr 19, 2019 | Blacktown City(home) | 1-1 | New South Wales NPL |
| Apr 14, 2019 | Hakoah Sydney City(away) | 0-0 | New South Wales NPL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2019 | Hakoah Sydney City(away) | 2-1 | New South Wales NPL |
| May 4, 2019 | Sutherland Sharks(home) | 1-1 | New South Wales NPL |
| Apr 27, 2019 | Marconi Stallions(home) | 3-3 | New South Wales NPL |
| Apr 22, 2019 | Sydney United(away) | 1-3 | New South Wales NPL |
| Apr 14, 2019 | Wollongong Wolves(away) | 1-1 | New South Wales NPL |
How many goals should we expect?
APIA Leichhardt Tigers score 1.6 and concede 1.1 goals per match over their last 10; Mt Druitt Town score 1.6 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| APIA Leichhardt Tigers | 1.6 | 1.1 | 3 | 6/10 | 6/10 |
| Mt Druitt Town | 1.6 | 2.2 | 1 | 8/10 | 6/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | APIA Leichhardt Tigers | 29 | 20 | 5 | 4 | 62 | 33 | 65 |
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