2017 Australian Open Predictions

We use our predictive model to forecast unplayed tennis matches

Update 1/27/2017 6:05 pm

Final Predictions

Winning Player Losing Player W-L %
Roger Federer (17) Rafael Nadal (9) 11-23 73%

SF Results

2/2 matches correct

Update 1/25/17 6:45 pm

SF Predictions

Winning Player (rank) Lossing Player (rank) W-L %
Roger Federer (17) Stanislas Wawrinka (4) 18-3 83%
Rafael Nadal (9) Grigor Dimitrov (15) 7-1 62%

QF Results

2/4 matches correct.

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Predicting the Winner: 2016 Australian Open

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.

Continue reading “Predicting the Winner: 2016 Australian Open”