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Basketball Data Analytics Data Science Mathematics NBA NBA Finals NBA Playoffs Sports Statistics

Metrics for GSW vs. OKC Game 6 Second Half

Continuing with the live metrics employed yesterday, here is an analysis of the second half of the Warriors-Thunder Game 6.  Here is a plot of the various time series of relevant statistical variables:  One can see from this plot for example, the exact point in time when OKC loses control of the game.  Further, here […]

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Basketball Data Analytics Data Science Mathematics NBA NBA Playoffs Sports Statistics Toronto

Live Metrics for NBA Games

Yesterday for the first time, I took the playoff game between Cleveland and Toronto as an opportunity to test out a script I wrote in R that keeps track of key statistics during a game in real time (well, every 30 seconds). Based on previous work, it is evident that championship-calibre teams are the ones […]

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Basketball Chicago Bulls Data Analytics Data Science Mathematics NBA NBA Finals NBA Playoffs Sports Statistics

The Three-Point Shot Myth Continued…

I’ve been ranting a lot about the so-called “value” of the three-point shot in “modern-day” basketball. I know! But, here is yet one more entry. The common consensus is that teams are shooting more three point shots as discussed in the articles below: http://www.businessinsider.com/nba-three-point-shooting-2016-3 http://www.nba.com/2014/news/features/john_schuhmann/11/07/history-of-the-three-point-shot/ http://nyloncalculus.com/2016/03/08/three-pointers-and-skill-displacement/ There are several more where these have come from. […]

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Basketball Data Analytics Data Science Mathematics NBA NBA Finals NBA Playoffs Statistics

Basketball Paper Update

A few weeks ago, I published a paper that used data science / machine learning to detect commonalities between NBA playoff teams. I have now updated and extended it to detect commonalities between NBA championship teams using artificial neural networks, which is a field of deep learning. The paper can be accessed by clicking on the […]

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Basketball Chicago Bulls Data Analytics Data Science Mathematics NBA NBA Playoffs Sports Statistics

New Paper on Machine Learning and Basketball

A new and formal paper of mine describing how one can use machine learn methodologies to help determine which NBA teams will make the playoffs is now online:  arXiv link SSRN link Have a look!   

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Basketball Data Analytics Data Science NBA NBA Playoffs Sports Statistics

How close were The Knicks to making the Playoffs?

It is another New York Knicks season where fans have to wait until next year to see if the Knicks will make the playoffs or not. Yesterday, there was a lot buzz around the idea that Phil Jackson may want to keep Kurt Rambis on as head coach, and as usual, there were numerous people […]

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Basketball Data Analytics Data Science NBA Sports Statistics

Analyzing Stephen Curry’s Play

As a long-time Golden State Warriors fan (go Tim Hardaway and Chris Mullin!), I have been watching the Warriors this season with great interest.  Stephen Curry has been getting a lot of attention. It is somewhat of a foregone conclusion that he will be the MVP this season, but, I am not completely convinced, in […]

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Basketball Chicago Bulls Data Analytics Data Science education Mathematics NBA NBA Finals NBA Playoffs Science Sports Statistics Uncategorized

Stephen Curry and Mahmoud Abdul-Rauf?

As usual, Phil Jackson made another interesting tweet today: Never seen anything like SCurry? Remind you of Chris Jackson/ Mahmoud Abdul-Rauf, who had a short but brilliant run in NBA? — Phil Jackson (@PhilJackson11) February 28, 2016 And, as usual received many criticisms from “Experts”, who just looked at the raw numbers from each players, and […]

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Cosmology General Relativity Mathematics Physics Science Statistics Uncategorized

New Paper on Stochastic Eternal Inflation

Our new paper was accepted for publication in Physical Review D. The goal of the paper was to calculate the probability that a multiverse could emerge from a more general background spacetime, in this case, Bianchi Type I coupled to a chaotic inflaton potential. Basically, we found that a multiverse being generated from such a […]

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Basketball Chicago Bulls Data Analytics Data Science Mathematics NBA NBA Playoffs Sports Statistics

What Do NBA Playoff Teams Have in Common?

I’ve been interested for some time on figuring out an analytical way to determine what characterizes an NBA team as a playoff team. Looking at the previous six seasons, I pulled together almost 65 different statistics that characterize how a team plays, and then performed a classification tree analysis. I found the following result:    […]