Predicting results and player performances in cricket is still an underdeveloped business, compared with the scientific forecasting systems at work for other professional sports. Soccer, the truly global game, has inspired, aside from Paul the Octopus and the quite effective bookmaker consensus model (BCM), various methods and systems and tens of prediction websites to assess team and player abilities and winning probabilities in tournaments, domestic and international. Baseball has its sabermetrics, defined as “the search for objective knowledge” about the game. Before venturing into major-league political election forecasting, Nate Silver made a name and a small fortune for himself by developing and selling PECOTA (Player Empirical Comparison and Optimisation Test Algorithm), a proprietary sabermetric system that forecasts Major League Baseball player performance and is claimed by its owner, Baseball Prospectus, to be “deadly accurate”.