We use our machine learning model to predict ATP rankings
In our last blog post, we detailed our new machine learning forecasting app that predicts future rankings. The app updates automatically on a weekly cadence and we’ve pulled the most recent results into 2 tables below.
The current top 10 ATP players are forecasted to remain stagnant into August. This is after Zverev defended his title at the Citi Open and last week’s tournaments have been accounted for.
How recent ATP player trends impact future rankings before they happen, updated live
Welcome back tennis fans… and no, we didn’t forget about your thirst for tennis and data analytics! Our new web app allows you to easily see a player’s ranking history, similar to the ATP site, but with an added ranking forecast, packaged as an interactive visualization not available anywhere else!*
Creating an algorithm for tennis match forecasting
So far, we’ve covered general descriptive statistics, such as yearly attribute trends, points won distributions, and competitiveness on our blog. We build on those findings by creating a model capable of predicting ATP tennis match winners. Using historical data points, we achieve 81% accuracy in predicting match winners for the 2016 Australian Open. We delve into the development process and share our predictions below.