Metric Explainers Introducing Power Rankings: Your Club Ranked Introducing Power Rankings, the new way to tell which club is actually “by far the greatest team the world has ever seen." 1 year ago Jonny Whitmore
Metric Explainers Why Targets Are No Longer Good Enough When It Comes to Valuing Pass Catchers Targets are out. Read percentage is in. Introducing the metric that gives a clearer indication of how often a player is potentially being given the chance to make a play. 1 year ago Trevor Goldstein
Metric Explainers Explaining Next Ball Probability in Cricket Opta's Next Ball Predictor model forecasts the probabilities of different outcomes of the next delivery in cricket. Here's how it works. 2 years ago Danny Dinsdale
Metric Explainers How’d You Get This Number? Explaining Opta Analyst’s Weekly NFL Fantasy Projections Our model uses observed and projected data in four key areas: team values, player baselines, player participation and defensive matchup adjustments. 2 years ago Kevin Chroust, Kyle Cunningham-Rhoads
Metric Explainers SmartRatings: The Model That Rates Each Game, Team and Player’s Entertainment Value Which game is the most intriguing this Sunday? Who has been the most exciting player in the league? Now we can put data behind the answers. 2 years ago The Analyst
Metric Explainers Measuring the Most Clutch Players in Tennis: Who Performs When It Matters Most? With the help of a new metric – clutch points – we can go beyond just game or break point to truly explore the moments that matter most. 2 years ago Jon Manuel
Metric Explainers Introducing Our NBA Draft Model: An Inside Look at How the Sliders Work We're excited to introduce our new and improved NBA Draft model and its sliders, which enable us to highlight different assortments of players catered to certain draft traits. 2 years ago Trevor Goldstein
Metric Explainers Introducing Cricket Simulation Models Introducing three new cricket metrics, each designed to quantify the current match situation and predict future outcomes. 2 years ago Danny Dinsdale
Metric Explainers Evolving Expected Goals (xG) Expected goals (or xG) measures the quality of a chance by calculating the likelihood that it will be scored from a particular position on the pitch during a particular phase… 2 years ago Jonny Whitmore
Metric Explainers Capturing Momentum in Tennis Two brand new metrics - leverage and momentum - allow us to quantify the swings in momentum that define any tennis match. 2 years ago Jon Manuel