How Good Are We at Drafting Wide Receivers? Challenging the Wisdom of the Crowds, Part 1
Image Credit: Dustin Bradford/Icon Sportswire. Pictured: Amon-Ra St. Brown.

Kevin Szafraniec analyzes the past six years of best ball ADP data in the Win Rate Explorer and compares it against wide receiver PPR scoring to find out how accurately drafters are predicting team depth charts prior to the season.

While reviewing best ball stacks in my previous article, I found that there was a pretty significant drop-off in success rates for stacks that feature wide receivers who were being drafted as the third and fourth options on their teams compared to the players who were being selected as WR1s and WR2s.

The simplest reason behind this decline is that WR3s and WR4s just aren’t as good as the players at the top of their depth charts. But that can’t be the complete explanation, because these players are also much cheaper. Of course, the fact that they are on the field less means the stack with the QB is less effective. That still doesn’t fully explain why they would perform below expectation — the implication of the win rate data is that it would be preferable to pair a QB with WRs from different teams who are being drafted in the same range (or avoid WRs altogether in this range).

But what if the fantasy community simply isn’t very good at projecting teams’ depth charts leading up to the season?

That is precisely what I am setting out to answer today. For this exercise, we will be using the past six years of ADP data from the Best Ball Win Rate Explorer and combining it with the PPR data from the RotoViz Screener for Weeks 1-17 of the 2020-2025 seasons. (One very important detail that we must take into account is that the Screener assigns players to the teams they were on when they finished the season, so there will be some discrepancies for players who switched teams at some point during the year.) In total, we have a sample that consists of 192 NFL teams and 1,312 WRs — 613 who carried an ADP in FFPC best ball slim leagues and 699 who went undrafted.

Before we get into the data, it is important to note that not all of the results come down to pure talent. Obviously, injuries will always play a part in any discussion. Additionally, best ball drafts aren’t always about projecting depth charts as much as they are about searching for upside and late-season breakouts. But the information is still actionable and should provide signal as to our ability as a community to properly predict how each season will shake out.

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Starting at the Top of the Food Chain

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Kevin Szafraniec

Lead Writer and Full-time Cat Dad. Sneakerhead, Record Collector, Beatmaker, Lord of the Rings Superfan, and Jeopardy Enthusiast in my free time. Follow me on X and Bluesky @thecatdadff

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The RotoViz Review: It’s Time to Get Hyped for Best Ball Summer

The RotoViz staff highlights some of the tools and content our site offers that will help you crush your best ball drafts this summer. For most people, Memorial Day represents the unofficial start of summer. And while some of us sickos were itching to jump into draft rooms as soon as best ball tournaments launched in January, the middle of the calendar represents a more…...

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Is It Possible to Correlate Too Much? Best Ball Stacks That Work and the Pitfalls of Stacking At All Costs

Kevin Szafraniec evaluates the team stack data in RotoViz’s Best Ball Win Rate Explorer to pinpoint the combinations that have historically provided the most profitable returns in best ball leagues. Anyone who plays best ball knows there are certain players “you have to have” every season to come out at the top of the leaderboard in large-scale tournaments. When we stack these players alongside other…...

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In Part 5 of this series, Kevin Szafraniec uses the lessons we’ve learned through the first four installments of the series to draft a team in the FFPC Best Ball Tournament. If you’re a RotoViz subscriber and aren’t taking advantage of our powerful suite of best ball tools, you are truly missing out. Prior to starting this series, I gave a broad overview of a…...

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