Historically Profitable NBA Algorithm Predictions for 7 Friday Games (Oct. 28)
Jonathan Bachman/Getty Images. Pictured: Zion Williamson
An incredible seven Friday night NBA games fit a betting algorithm with data tracing back to 2005.
This pick has returned a 12% on investment for the last 17 years. The specific parameters of this algorithm only apply to roughly 45 NBA games per year — including these seven contests.
- Cleveland Cavaliers vs. Boston Celtics (7:30 p.m. ET)
- Utah Jazz vs. Denver Nuggets (9 p.m. ET)
- New Orleans Pelicans vs. Phoenix Suns (10 p.m. ET)
- Los Angeles Lakers vs. Minnesota Timberwolves (8 p.m. ET)
- Houston Rockets vs. Portland Trail Blazers (10 p.m. ET)
- New York Knicks vs. Milwaukee Bucks (8 p.m. ET)
- Indiana Pacers vs. Washington Wizards (7 p.m. ET)
If you had bet $100 on each game that has fit the betting trend since 2005, you’d be up about $10,000. That’s roughly $600 per year.
And this is across a substantial sample size: 800 or so games over the past 17 seasons.
We don’t recommend using this betting algorithm as an alternative to investing — variance is a much sturdier constraint in sports gambling compared to the financial markets — but similar principles apply in regard to gains over a long time horizon.
For instance, this system has a 12% annual return on investment. The S&P 500 — the approximate value of the American stock market — has risen an average of 8% over that same timeframe.