Australia's New South Wales NPL 2 football predictions and statistics

Check most predictable leagues
Football player
New South Wales NPL 2 Australia logo Australia
Hour Match
Win O 2.5 BTTS
2025-06-18
2025-06-18 10:00:00 Bonnyrigg White Eagles logo Bonnyrigg White Eagles Inter Lions logo Inter Lions
0.60
3.00
2.00
2.00
3.30
2.20
2025-06-20
2025-06-20 11:15:00 Blacktown Spartans logo Blacktown Spartans Canterbury Bankstown logo Canterbury Bankstown
3.00
1.20
5.00
1.00
5.00
4.00
2025-06-21
2025-06-21 07:30:00 Hakoah Sydney City logo Hakoah Sydney City UNSW logo UNSW
2.30
2.90
4.00
1.00
4.30
4.30
2025-06-21 08:00:00 Macarthur Rams logo Macarthur Rams Bonnyrigg White Eagles logo Bonnyrigg White Eagles
1.60
0.00
4.00
5.00
4.30
4.30
2025-06-21 08:00:00 Bankstown City Lions logo Bankstown City Lions Northern Tigers logo Northern Tigers
3.00
1.30
4.00
2.00
3.60
2.90
2025-06-21 10:00:00 Inter Lions logo Inter Lions Bulls Academy logo Bulls Academy
2.90
5.00
1.00
3.00
2.60
3.60
2025-06-21 10:00:00 SD Raiders logo SD Raiders Hills Brumbies logo Hills Brumbies
2.30
1.30
4.00
3.00
4.00
3.60
2025-06-21 10:00:00 Newcastle Jets II logo Newcastle Jets II Dulwich Hill logo Dulwich Hill
1.90
1.00
4.00
4.00
5.00
3.60
2025-06-21 10:00:00 Mounties Wanderers logo Mounties Wanderers Rydalmere Lions logo Rydalmere Lions
2.30
1.00
1.00
4.00
2.90
4.30
Frequently Asked Questions

When are the Australia New South Wales NPL 2 predictions available?

The predictions are posted the day before any Championship event. You can find all upcoming New South Wales NPL 2 predictions on our football predictions page

What's the average prediction odds for New South Wales NPL 2?

Unfortuantely we don't have the ability to save the odds of our predictions at the moment. We're probably going to add it in the future updates.

Are your New South Wales NPL 2 AI football predictions 100% accurate?

Simple answer is NO. Although there are some leagues that at some point or another have a 100% prediction success rate, it is impossible to 100% predict an outcome, regardless of the type of statistics we're targeting.