The 2021 WR Class Is Loaded With Breakout Age Stars – 4 Rank in the Top 25 This Century
Image Credit: Zach Bolinger/Icon Sportswire. Pictured: Rondale Moore.

Earlier this offseason, Matt Spencer improved the WR breakout age metric and made it even more helpful in locating NFL stars. Part 1 is included in this article in order to help readers understand what BOA means and how it’s calculated. If you’re already familiar with Matt’s work, jump down to Part 2 where he presents the top-25 historical results and the breakout ages for the 2021 NFL class. 

It’s rookie season again in the NFL analytics community and the fights are already starting at the wide receiver position. Be prepared to stumble into many arguments over how Jaylen Waddle failed to breakout or how it took Devonta Smith until his fourth and senior season to achieve his breakout all while we are forced to use Ja’Marr Chase’s age-adjusted production from 2019 due to COVID. You will see all these fights repeatedly over the next six months. Many will see this as purely entertainment, but I see it as an opportunity to exploit value from your league mates. We can rely heavily on age adjusted production and specifically on Breakout Age to improve our prospect analysis.

Traditional Formulation

Breakout Age (BOA) was originally defined by Frank DuPont and Shawn Siegele as a means to capture what is common sense into a fixed metric. Do you want to draft the player that slowly increased his production profile until he finally had a good season his senior year, or do you want the player that earned his teams respect and targets in his freshman season?  

For a wide receiver this can be simplified as the age at which a player achieved at least a 30% Dominator Rating.

Please subscribe For Full Access to all RotoViz content and tools!

 

What’s included in your subscription??

  • Exclusive Access to RotoViz Study Hall
    • A treasure trove of our most insightful articles that will teach you the metrics that matter, time-tested winning strategies, the approaches that will give you an edge, and teach you how to be an effective fantasy manager.
  • Revolutionary Tools
    • Including the NFL Stat Explorer, Weekly GLSP Projections, NCAA Prospect Box Score Scout, Combine Explorer, Range of Outcomes App, DFS Lineup Optimizer, Best Ball Suite,and many, many, more.
  • Groundbreaking Articles
    • RotoViz is home of the original Zero-RB article and continues to push fantasy gamers forward as the go-to destination for evidence-based analysis and strategic advantages.
  • Weekly Projections
    • Built using RotoViz’s unique GLSP approach.
  • Expert Rankings
  • And a whole lot more…

Matt Spencer

Machine Learning Approach to Football Analytics with JavaScript

DFS Insights for the Week 5 Slate with K-Means Cluster Analysis

Welcome back to the series! In the previous installment, we dissected the strategies for Week 4 of the 2023 NFL season using k-means clustering. If you missed it, you could catch up here. This week we made major upgrades to the analysis. Methodology (In-Brief) Aggregated projections from six sources for the first five weeks Collected the actual results of the first four weeks. Collected information…...

DFS Insights for the Week 4 Slate with K-Means Cluster Analysis

Welcome back to the series! In the previous installment, we dissected the strategies that worked for Week 2 of the 2023 NFL season retroactively using k-means clustering. If you missed it, you can catch up on our initial entry here. Now, armed with insights from the first three weeks, we’re ready to tackle Week 4 and recommend a robust player pool for DFS success. Methodology…...

Unpacking Week 2: K-Means Clustering for DFS Insights

In this article we’ll explore the power of k-means clustering analysis to figure out how we could have taken down the slate the most effectively. By isolating the projected Vegas spread, game total, matchup, projected points, salary, risk, and reward, we should be able to uncover some insights to help us in the coming weeks. Week 2 of the NFL season brought us a plethora…...

DFS Insights for the Week 5 Slate with K-Means Cluster Analysis

Welcome back to the series! In the previous installment, we dissected the strategies for Week 4 of the 2023 NFL season using k-means clustering. If you missed it, you could catch up here. This week we made major upgrades to the analysis. Methodology (In-Brief) Aggregated projections from six sources for the first five weeks Collected the actual results of the first four weeks. Collected information…...

DFS Insights for the Week 4 Slate with K-Means Cluster Analysis

Welcome back to the series! In the previous installment, we dissected the strategies that worked for Week 2 of the 2023 NFL season retroactively using k-means clustering. If you missed it, you can catch up on our initial entry here. Now, armed with insights from the first three weeks, we’re ready to tackle Week 4 and recommend a robust player pool for DFS success. Methodology…...

Unpacking Week 2: K-Means Clustering for DFS Insights

In this article we’ll explore the power of k-means clustering analysis to figure out how we could have taken down the slate the most effectively. By isolating the projected Vegas spread, game total, matchup, projected points, salary, risk, and reward, we should be able to uncover some insights to help us in the coming weeks. Week 2 of the NFL season brought us a plethora…...

The Blitz

Connect
Support

rotovizmain@gmail.com

Sign-up today for our free Premium Email subscription!

Data provided by

© 2021 RotoViz. All rights Reserved.

Welcome Back to RotoViz...

– IF YOU HAVE ISSUES LOGGING IN PLEASE CONTACT ROTOVIZMAIN@GMAIL.COM

– PLEASE NOTE THAT ROTOVIZ USES WORDPRESS FOR ACCOUNT MANAGEMENT. IF RESETTING YOUR PASSWORD YOU MAY BE FOWARDED TO A WORDPRESS PAGE.