I have recently been inspired to write code of interest to the legal sports book industry again. Disclaimer – I have nothing to do with placing bets, taking bets, money exchanges for bets, or anything else to do with actual betting.
What I am almost obsessed with is sports betting odds, probabilities, rankings, etc. Of course when this kind of data is turned into information it can be of great value to the sports betting industry…
With the legalization of sports betting in New Jersey the total amount wagered each month almost doubled to $184 Million. That is not an insignificant amount of money. It also represents a significant monetary increase making legal sports gambling a growth industry indeed.
The more I speak to people in the industry about their IT operations and infrastructure, the more I am intrigued. Since I love sports and Python, Pandas, machine learning, Linux, etc. this is far from surprising.
Machine learning in general, and in AI in particular, are based significantly on probabilities. Betting odds are also probabilities. Obviously this is a match made in heaven.
February 2019 NBA Power Rankings
Since tis’ the season, I have focused my latest sports information generation efforts on the NBA.
A few months ago I did a project that was more of interest to me and NBA general managers then it was to gamblers. This week I am back on track writing code of interest to sports bettors and the sports gambling industry.
I am not giving away picks or any information you can just take and make money betting with – nothing that any sports gambling industry company might want to pay me for lol.
What I am publishing is a look at my all new, revamped, state of the art NBA power rankings.
These rankings are based on performance stats as well as actual results. The Milwaukee Bucks are +950 right now at OddsShark. I don’t bet money personally, for a number of reasons, not least of which is something akin to the don’t get high on your own supply rule.
But the Bucks FTW looks like a very appealing wager.
Interestingly the San Antonio Spurs are the worst performing team in regards to wins and losses vs. their efficiency stats. The Washington Wizards have over performed based on the previous metric…
It’s also interesting that the top 10 teams are evenly split between the Eastern Conference and the West. Are the conferences becoming more balanced?
As always, feel free to tell me how I’m wrong in the comments.