Mt Druitt Town vs Sutherland Sharks: result 1-1 and analysis
New South Wales NPLRegular Season - 9Kick-off on May 4, 2019 at 09:00 AM (UTC)Popondetta Park, Emerton
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What was the result of Mt Druitt Town vs Sutherland Sharks?
Mt Druitt Town and Sutherland Sharks drew 1-1 on May 4, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Mt Druitt Town have 1 win, 3 draws and 4 defeats; Sutherland Sharks have 1, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2019 | Wollongong Wolves(home) | 2-2 | New South Wales NPL |
| Apr 20, 2019 | Marconi Stallions(away) | 1-3 | New South Wales NPL |
| Apr 13, 2019 | Manly United(home) | 0-0 | New South Wales NPL |
| Apr 6, 2019 | Sydney United(home) | 2-3 | New South Wales NPL |
| Mar 31, 2019 | Blacktown City(away) | 0-1 | New South Wales NPL |
How many goals should we expect?
Mt Druitt Town score 1.6 and concede 2.5 goals per match over their last 8; Sutherland Sharks score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mt Druitt Town | 1.6 | 2.5 | 1 | 6/8 | 5/8 |
| Sutherland Sharks | 0.9 | 1.5 | 2 | 4/8 | 4/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Sutherland Sharks | 30 | 14 | 4 | 12 | 46 | 38 | 46 |
A question about Mt Druitt Town vs Sutherland Sharks?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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