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SoccerStats247
- Competitions
- New South Wales NPL
New South Wales NPL 2020
New South Wales NPL is a soccer competition played in Australia. The 2020 season features 4 teams competing over various rounds such as preliminary, groups and knock-out stages for the title of champions. Among soccer teams playing in New South Wales NPL are Wollongong Wolves, Rockdale Ilinden, Sydney Olympic, Sydney United. Check below for the New South Wales NPL latest matches and results, rankings, knock-out stages and schedule, football trends, top scoring players and disciplinary, among other various statistics like over/under, clean sheets / fail to score, score average or scoring sequences.
Grand Final
Major Semi-finals
Players
We have allocated points to each yellow (1 point), yellow-red (2 points) and red card (3 points) for ranking purposes. Please note that this does not represent any official rankings.
Data in above table is displayed and calculated based on matches from the New South Wales NPL Final Stages.
Over/Under
Data in above table is displayed and calculated based on matches from the New South Wales NPL Final Stages
Score Average
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Avg. goals overall
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Avg. goals home
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Avg. goals away
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Pld
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Scored
| Conc. | Total | Scored | Conc. | Total | Scored | Conc. | Total |
| Sydney Olympic |
0.00
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3.00
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3.00
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0.00
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0.00
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0.00
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0.00
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3.00
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3.00
| 1 |
| Sydney United |
3.00
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2.00
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5.00
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0.00
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0.00
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0.00
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3.00
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2.00
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5.00
| 2 |
| Wollongong Wolves |
1.00
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3.00
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4.00
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1.00
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3.00
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4.00
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0.00
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0.00
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0.00
| 1 |
| Rockdale Ilinden |
3.00
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1.50
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4.50
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3.00
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1.50
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4.50
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0.00
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0.00
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0.00
| 2 |
Data in above table is displayed and calculated based on matches from the New South Wales NPL Final Stages
The soccer statistics for New South Wales NPL are updated regularly, as matches are played and results are processed. The statistical data is presented in a manner that can be used easily to identify trends and probabilities for future football matches, which is what the SoccerStats247 system uses to produce predictions for New South Wales NPL. There are daily tips in the Predictions section, where our algorithm point to probable outcomes for different markets, and evolves as more matches and soccer statistics are feed in.
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