Carlton C

Who Will Win the Big Game? Applying quant facts and sports analytics.

Quantitative Analysis, Quant Facts, And More

The excitement of the NHL and NBA seasons are winding down. While we enjoy these seven-game series, we thought we would update the performance of our quant fact predictions. My research with Dr. Jay Granat — (quantifying concepts of sports psychology) — has predicted the results of championships in major sporting events at a rate of 65.9% (56-29) in published articles over the past decade (sometimes selecting underdogs along the way).

I have always enjoyed applying math, probability, and statistics to explain the world around us. Quantitative and academic approaches help us to slice and dice data — obtaining useful and objective information — and actionable behaviors.


Sporting events and the financial markets include a random component — and the intellectual challenge of sports and investing has energized me for decades. Here’s an article I wrote on Quant Analysis and the financial markets.

Indeed, while quantitative analysis can help us to make sense of the world and financial markets, qualitative thinking can also help us to generalize and expand the usefulness of our results. Here’s another article of interest:


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Carlton Chin, a graduate of MIT, is an investment manager and portfolio strategist. When not studying downside risk and portfolio construction, he enjoys applying numbers and probability to sports analytics. He worked with various sports organizations, including the Sacramento Kings — and has been quoted by the New York Times, the Wall Street Journal, and ESPN. 


Dr. Jay Granat is a psychotherapist and founder of He has worked with athletes of all levels, including high school athletes and Olympians. He was named one of Golf Digest’s Top Ten Mental Gurus and has been on Good Morning America, the New York Times, and ESPN. 

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