In the ever-evolving world of football analytics, the Rush Yards Over Expected (YOE) metric stands out as a beacon of innovation. Crafted using state-of-the-art machine learning models, YOE delves deep into the expected outcome of each rushing play, considering factors such as game situations, field position, score and down&distance.
But what does this metric really tell us?
To the casual fan, YOE might seem like just another number. However, its implications are far-reaching. It offers a refreshing perspective on a player’s rushing prowess, going beyond the traditional yardage stats. When a player consistently registers a high YOE, it’s a testament to their ability to outperform in challenging situations, often turning what seems like an inevitable loss into a groundbreaking gain.
For teams and analysts, YOE is akin to a treasure trove. It assists in unearthing hidden gems in the roster, players who might not be the stars of highlight reels but are the unsung heroes on the field, consistently outdoing expectations. On the other hand, a low or negative YOE can serve as a red flag, pointing towards potential areas of improvement.
Players themselves can benefit immensely from this metric. A high YOE acts as a badge of honor, affirming their on-field excellence. It’s the hard evidence that showcases their ability to defy the odds and make the most out of each play.
Navigating the Rushing Grid
Peel back the curtain on our rushing landscape, and what you’ll find is a matrix of expectation versus reality. The x-axis? That’s our ground truth, the actual yards players have chalked up. Glide your eyes upwards, and the y-axis reveals what our data anticipated they’d achieve: the expected yards. That diagonal dash? Think of it as football’s 50-yard line. Players darting below it are our overachievers, consistently outrunning expectations. Those hovering above? Well, they’ve got some cleats to fill. And if you’re wondering about the size of those dots – bigger isn’t just better; it indicates more attempts. As we pivot into the details, let’s spotlight a few names that seem to be playing their own game amidst this sea of data. Their stories are about to get a lot more interesting.
Diving Deeper into the European League of Football’s Data