Sydney United vs Mt Druitt Town: result 3-1 and analysis
New South Wales NPLMatchday 7Kick-off on April 22, 2019 at 05:00 AM (UTC)Sydney United Sports Center, Sydney
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What was the result of Sydney United vs Mt Druitt Town?
Sydney United won 3-1 on April 22, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Sydney United have 2 wins, 2 draws and 2 defeats; Mt Druitt Town have 1, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Marconi Stallions(away) | 0-5 | New South Wales NPL |
| Apr 6, 2019 | Sutherland Sharks(away) | 3-2 | New South Wales NPL |
| Mar 31, 2019 | APIA Leichhardt Tigers(home) | 1-3 | New South Wales NPL |
| Mar 24, 2019 | Wollongong Wolves(home) | 2-2 | New South Wales NPL |
| Mar 17, 2019 | Blacktown City(away) | 1-0 | New South Wales NPL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2019 | Wollongong Wolves(away) | 1-1 | New South Wales NPL |
| Apr 6, 2019 | Sydney FC U23(home) | 2-4 | New South Wales NPL |
| Apr 3, 2019 | Sydney Olympic(home) | 2-6 | New South Wales NPL |
| Mar 31, 2019 | Rockdale City Suns(away) | 2-0 | New South Wales NPL |
| Mar 23, 2019 | Manly United(away) | 2-2 | New South Wales NPL |
How many goals should we expect?
Sydney United score 1.2 and concede 2.0 goals per match over their last 6; Mt Druitt Town score 1.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sydney United | 1.2 | 2.0 | 2 | 3/6 | 4/6 |
| Mt Druitt Town | 1.5 | 2.3 | 1 | 4/6 | 3/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sydney United | 30 | 20 | 4 | 6 | 47 | 20 | 64 |
A question about Sydney United vs Mt Druitt Town?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy