The Expected Goals Philosophy

Download or read book The Expected Goals Philosophy written by James Tippett and published by . This book was released on 2019-11-08 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Expected Goals method is football's best-kept secret. The metric gives unparalleled insight into which teams and players are performing at the highest level. Professional gamblers have used Expected Goals to make millions through football betting. Club scouts have used Expected Goals to identify hidden gems in the transfer market. And the media have recently started using Expected Goals to offer more profound insight in their broadcasts. Despite this, most ordinary fans still don't understand what the Expected Goals method is - or appreciate the significant impact that it is set to have on the sport in coming years. Expected Goals (otherwise known as xG) was originally conjured up by a small corner of the online football analytics community. It didn't take long for professional gamblers to begin using xG to predict match outcomes. These bettors utilised the Expected Goals method to turn over hundreds of millions of pounds from the bookmakers. Before long, football clubs had caught on to the ground-breaking insight given by xG. Brentford FC were leaders in this field, managing to assemble a Play-Off-reaching squad on a shoe-string budget. In the last five years, the small West London side have turned over more than £100m in transfer revenue from their use of the Expected Goals method in player recruitment. More recently, the Expected Goals method has been adopted by the media as a form of insight. Fans are finally catching on to the pioneering means of football analysis. Soon enough, anyone who doesn't understand the Expected Goals philosophy will be left behind. "This book will make you watch football differently" - Tobias Pedersen "Possibly the most ground-breaking football book ever written" - Football Impact "A brilliant account of the history and future of Expected Goals" - StatShot