Predicting sprint performance through data modeling
One of the “Holy Grails” in sport is the ability to predict, with accuracy, whether someone has the potential to become an elite athlete or not. I’ve covered this in previous articles and papers in terms of genetics, discussing whether we can test for it or not and how we might think of talent in terms of the ability to respond to training. However, at present, predicting future performance remains very difficult. But we keep trying and a recent paper in Biology of Sport took a novel approach to trying to predict sprint performance. The researchers recruited 104 Croatian sprinters and collected a wide variety of data points relating to anthropometric, genetic, and psychological traits to create a rich data set for analysis.
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