Squash is played on the court, not on a computer screen. But an understanding of the numbers behind a performance can be used to improve chances of success. Data analytics has been used widely across a number of sports for the past twenty years. Ever since Michael Lewis' Moneyball – the story of how the Oakland Athletics baseball team competed with much larger franchises by prioritising overlooked but enormously instructive performance metrics – the use of statistical analysis in sport has never looked back. From Los Angeles to Wellington, elite sports clubs the world over now employ data analysts to get the best out of their players and an advantage over competitors. Statistics determine NBA draft picks, brought Jurgen Klopp to Liverpool, and helped propel Novak Djokovic to the top of the world rankings. Squash has a rich history of fabulous talent and phenomenal players, but we now have the ability to push the sport further. By analysing rallies, games and matches in ever greater detail, we can identify patterns of play to inform player tactics and improve player performance – from marginal gains to match strategy. At Cross Court Analytics, we tailor informed and specific feedback to your needs, handing you the advantage over your opponent before even stepping on court. Cross Court Analytics is the first to bring the statistical rigour and objective assessments used by elite teams across the globe to the sport of squash. Just as players improve strength in the weights room and stamina on the treadmill, they can improve game plans on the screen. Cross Court Analytics is here to bring another dimension to your match preparation.