National Basketball League NBL Results Archive - The Final Call after the Buzzer
The Aussie NBL results page is where all the myth-busting happens. The fixtures page is all about making money (odds, spreads, totals). But the real story is in the results archive, where it's all about what really happened: who won, by how much, and what the market just got plain wrong.
Below is a real results-driven betting lowdown, distilled from OddsRun's Australia basketball NBL game-by-game odds database (no generic league chatter here).
Results Vs Totals (Where the Archive Takes Center Stage)
Looking at the OddsRun dataset, here's how the Over hit-rate stacks up for common totals lines:
- Over 170.5: 71.94% - that's a pretty clear story.
- Over 180.5: 52.51% (the zone where markets start to get it right)
- Over 190.5: 34.27% - that's under half.
- Over 200.5: 18.84% - really low.
How do you use this on a live results page:
- When you're checking recent scores, ask yourself: are the results consistently above or below 182?
- If a team's recent results just keep landing in the 190s, the market is probably playing catch-up (totals drift upward). If results keep landing in the low 170s, the books tend to over-react and push the under.
Home Court Advantage - But It's Not a Free Pass
NBL basketball games do have a home lean - but it's a lot smaller than in some domestic leagues:
- Home win rate: 55.71%
- Away win rate: 44.29%
This matters to bettors because it means you shouldn't get too carried away with paying a premium for home teams. In Australian NBL, the good teams often win on the road too, so make sure you've got a good reason for a big home edge before laying cash.
The Art of Upset Recognition: How Often Favorites Actually Lose
Because OddsRun stores those moneyline prices per game, we can get a real read on favorites vs underdogs:
- Favorite win rate: 77.35% - no surprise there.
- Underdog win rate: 22.65% - that's a lot of upsets
And one of the most eye-opening stories in the archive is the biggest upset I've found:
- Cairns Taipans took down Illawarra Hawks at an incredible 8.742 (final: 108–105)
That kind of game happens every season and it completely flips the script on how we think about "safe favorites" in the NBL.
"Odds-only" Results: What Happens if You Blindly Bet Favorites
This is where the real value in your dataset comes in. Using closing odds:
- Betting on every favorite flat out results in +18.90% ROI
- Betting on every underdog flat out results in –35.25% ROI
Context is key here: the dataset's implied probability average is about 97.0%, which makes it look like you're getting the best of the market (or at least, the market is getting the best of itself). That's exactly how OddsRun users behave, shopping around for the best odds, and it's no wonder the favorite ROI looks so strong.
- Average two-way implied probability (A+B): ~97.0% (OddsRun style, not how your average bookie does it)
Favourite performance by price (this is where bettors really let themselves down)
Results treat favourites far from equally. Here's how favourites perform by those supposedly safe favourite odds brackets:
- 1.00 - 1.25: you'd be surprised at a 95.65% win rate here
- 1.26 - 1.40: they're still pretty safe with 88.43% wins
- 1.41 - 1.60: they're getting a bit dodgy with a 77.68% win rate
- 1.61 - 1.80: in other words, this band is essentially a coin flip with a 60.53% win rate - this is the "danger zone" where favourites look safe but aren't. You see a lot of repeated losses from favourites in this band, it's actually just normal for that bracket in the NBL.
Close games vs blowouts (why spreads turn on a sixpence)
From the archives alone:
- Close games (5 points or less): 24.65% of games
- Blowouts (20+ pts): 20.84%
So basically one game in four ends up being a tough, closely fought one, and one in five ends up a pretty ugly blowout. That mix is exactly why handicapping in the NBL is so tricky - you never know whether you'll get a close game or a thrashing. That's why backdoors show up so often in the archives.
League basics: clubs and stars that drive results narratives
When most people browse and search NBL results it's usually around the big clubs & the biggest stars:
- Clubs in the league are: Perth Wildcats, Sydney Kings, Melbourne United, Tas JackJumpers, Illawarra Hawks, Adelaide 36ers, Brisbane Bullets, Cairns Taipans, NZ Breakers, South East Melbourne Phoenix (people really have a thing for that lot).
- Most narratives around star players like "Bryce Cotton is the league's number one" (at least that's what everyone says), or the flashiest players in the league during the season.