Bestball rb value 2021 touchdown regression candidates
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2022 Touchdown Regression Candidates

Note: Candidates are based on a calculation of expected touchdowns compared to actual touchdowns scored in 2021.

Actual production will be impacted by other team and personnel changes and some players will continue to be outliers.

2020 – 2021

In 2020 there were:

  • 38 Wide Receivers / Tight Ends
  • 29 Running Backs

who could have been deemed ‘Touchdown Regression Candidates’

Of this sample, 21 Wide Receivers / Tight Ends and 17 Running Backs had enough production to measure in 2021

  • 19 (90-percent) of Wide Receivers / Tight Ends had at least some level of regression towards the average
  • 10 (48-percent) flipped the scale completely, from either positive to negative or vice-versa
  • 16 (94-percent) of Running Backs had at least some level of regression towards the average
  • 11 (65-percent) flipped the scale completely, from either positive to negative or vice-versa

The odds are that most of these candidates will regress towards the average and some of them will swing significantly.

Positive Regression Candidates

Note: Positive Regression refers to a statistic that was unusually low and is expected to regress towards average. In this instance, it means that the player is a candidate to increase their touchdowns in 2022 (all things being equal)

Wide Receiver / Tight End

πŸ“ˆ Jakobi Meyers – New England Patriots
πŸ“ˆ D.J. Moore – Carolina Panthers
πŸ“ˆ Terry McLaurin – Washington Commanders
πŸ“ˆ Cole Beasley
πŸ“ˆ A.J. Green – Arizona Cardinals
πŸ“ˆ Darnell Mooney – Chicago Bears
πŸ“ˆ Courtland Sutton – Denver Broncos
πŸ“ˆ Deebo Samuel – San Francisco 49ers
πŸ“ˆ Darren Waller – Las Vegas Raiders
πŸ“ˆ Mike Gesicki – Miami Dolphins
πŸ“ˆ Chris Godwin – Tampa Bay Buccaneers
πŸ“ˆ Chase Claypool – Pittsburgh Steelers
πŸ“ˆ Kyle Pitts – Atlanta Falcons
πŸ“ˆ Laviska Shenault Jr. – Jacksonville Jaguars
πŸ“ˆ Cole Kmet – Chicago Bears
πŸ“ˆ Mecole Hardman – Kansas City Chiefs

Running Back

πŸ“ˆ Antonio Gibson – Washington Commanders
πŸ“ˆ Nick Chubb – Cleveland Browns
πŸ“ˆ Miles Sanders – Philadelphia Eagles
πŸ“ˆ Saquon Barkley – New York Giants
πŸ“ˆ Alvin Kamara – New Orleans Saints
πŸ“ˆ Tony Pollard – Dallas Cowboys
πŸ“ˆ Sony Michel
πŸ“ˆ Mark Ingram – New Orleans Saints
πŸ“ˆ Dalvin Cook – Minnesota Vikings
πŸ“ˆ Aaron Jones – Green Bay Packers
πŸ“ˆ Najee Harris – Pittsburgh Steelers
πŸ“ˆ Elijah Mitchell – San Francisco 49ers
πŸ“ˆ Javonte Williams – Denver Broncos
πŸ“ˆ Devontae Booker
πŸ“ˆ Chase Edmonds – Miami Dolphins

Negative Regression Candidates

Note: Negative Regression refers to a statistic that was unusually high and is expected to regress towards average. In this instance, it means that the player is a candidate to decrease their touchdowns in 2022 (all things being equal)

Wide Receiver / Tight End

πŸ“‰ Robby Anderson – Carolina Panthers
πŸ“‰ Cooper Kupp – Los Angeles Rams
πŸ“‰ Stefon Diggs – Minnesota Vikings
πŸ“‰ Amari Cooper – Cleveland Browns
πŸ“‰ Mike Williams – Los Angeles Chargers
πŸ“‰ Dalton Schultz – Dallas Cowboys
πŸ“‰ Tyler Higbee – Los Angeles Rams
πŸ“‰ Odell Beckham Jr.
πŸ“‰ D.K. Metcalf – Seattle Seahawks
πŸ“‰ Travis Kelce – Kansas City Chiefs
πŸ“‰ Mike Evans – Tampa Bay Buccaneers
πŸ“‰ Adam Thielen – Minnesota Vikings
πŸ“‰ Hunter Renfrow – Las Vegas Raiders
πŸ“‰ Ja’Marr Chase – Cincinnati Bengals
πŸ“‰ K.J. Osborn – Minnesota Vikings
πŸ“‰ Marquez Callaway – New Orleans Saints

Running Back

πŸ“‰ James Robinson – Jacksonville Jaguars
πŸ“‰ Jonathan Taylor – Indianapolis Colts
πŸ“‰ Leonard Fournette – Tampa Bay Buccaneers
πŸ“‰ Joe Mixon – Cincinnati Bengals
πŸ“‰ Josh Jacobs – Las Vegas Raiders
πŸ“‰ Austin Ekeler – Los Angeles Chargers
πŸ“‰ Damien Harris – New England Patriots
πŸ“‰ Latavius Murray
πŸ“‰ Ronald Jones II – Kansas City Chiefs
πŸ“‰ James Conner – Arizona Cardinals
πŸ“‰ Ezekiel Elliott – Dallas Cowboys
πŸ“‰ Derrick Henry – Tennessee Titans
πŸ“‰ Cordarrelle Patterson – Atlanta Falcons
πŸ“‰ Darrel Williams

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