Free football Over Under predictions and tips for Australia Northern NSW NPL

#	Name	P	W	D	L	Goals	Last 5	Pts
1	Broadmeadow Magic	18	12	4	2	49:22	WWLWD	40
2	Weston Bears	18	10	3	5	39:29	WWLDD	33
3	Belmont Swansea	17	9	5	3	39:30	WWDWL	32
4	Maitland	17	9	3	5	33:28	WWWWW	30
5	Edgeworth Eagles	17	8	5	4	34:29	WWWLL	29
6	Cooks Hill United	18	7	5	6	36:30	WWDDD	26
7	Lambton Jaffas	18	6	4	8	35:29	LDLDW	22
8	Valentine	18	5	4	9	18:36	WLDWL	19
9	Hamilton Olympic	18	4	6	8	33:32	LWDLD	18
10	Adamstown Rosebuds	18	4	5	9	25:36	LLWDL	17
11	Kahibah	17	4	2	11	26:41	LLLWD	14
12	Charlestown City Blues	18	4	2	12	24:49	LLLLD	14

When are the Over/Under 2.5 Australia Northern NSW NPL Predictions available?

You can track down our Over/Under 2.5 goals Northern NSW NPL tips and predictions on this page, predictions are posted 4 days before any Northern NSW NPL event. Using artificial intelligence on football predictions help users predict outcomes for Over/Under 2.5 goals in a given event.

What is Over/Under 2.5 Predictions?

Over 2.5 is when three or more goals are scored in a match, regardless of which team scores, Under 2.5 example if the match produced no goals, one goal, or two goals, the final outcome is under 2.5 goals

Top Countries

News and Articles

Over and under goals: how AI predicts goal totals

Learn how AI predicts over and under goals by estimating expected goals, tempo, team styles, and variance, then converting them into calibrated probabilities for total goals markets.

Bayer assistant coach Meijer becomes head coach at Sparta Rotterdam

Rogier Meijer leaves Bayer Leverkusen after one year to become Sparta Rotterdam head coach, signing until 2028 after an eventful spell in Germany.

How AI Is Changing Football Predictions in 2026

Explore how artificial intelligence is transforming football predictions through richer data, smarter models, real-time context, and stronger transparency and governance.

Expected goals explained and how AI uses xG to predict results

Understand expected goals (xG) from first principles and see how AI uses xG, shot quality, and team context to predict football results with stronger accuracy and calibration.

How to use Elo ratings for football predictions

A practical guide to using Elo ratings in football predictions, from team strength and home advantage to draw probability, league adjustments, and model improvement.

The best data sources for AI soccer predictions

A practical guide to the best data sources for AI soccer predictions, covering event data, tracking data, odds, injuries, and open datasets, plus how to choose, validate, and combine them.