Should We Still Avoid Wide Receivers Who Change Teams? What Expected Points Are Telling Us After Week 8
Image Credit: Cliff Welch/Icon Sportswire. Pictured: Robby Anderson.

If you spend any time reading RotoViz, eventually you’ll hear us talking about expected points. Expected points (EP) are the number of fantasy points that a target or carry should score based on game situation — down, distance, and field position. In other words, expected points allow us to transform raw opportunity, such as carries and targets, directly into fantasy points. From there we can look out how players actually perform with their opportunity — how many points they actually score — and arrive at a player’s fantasy points over expectation (FPOE). FPOE turns out to be a catch-all efficiency metric that accounts for both yards and touchdowns in a single number. Add EP (opportunity) and FPOE (efficiency) together, and you get a player’s actual fantasy output.

This weekly article will look at some leaders in expected points and try to tease out how fantasy gamers can take advantage of these various volume and efficiency situations. First, the Week 8 data:

Week 8 Expected Points

PlayerPosEPFPOEruEPruFPOEreEPreFPOEmsRuEPmsReEPmsEPPPR
Cooper KuppWR30.5-8.50030.5-8.50.0%34.3%28.6%22
Dalvin CookRB29.319.324.59.84.89.591.4%22.1%60.4%48.6
DeeJay DallasRB26.3-3.516.4-6.39.92.889.1%15.2%31.4%22.8
D.K. MetcalfWR25.214.90025.214.90.0%38.6%30.1%40.1
Josh JacobsRB24.9-12.123.6-10.81.3-1.385.8%3.6%38.9%12.8
Alvin KamaraRB23.42.45.61.617.80.835.0%29.0%30.2%25.8
Davante AdamsWR23.370023.370.0%37.5%31.2%30.3
Brandon AiyukWR21.91.20021.91.20.0%31.5%25.2%23.1
David MontgomeryRB21.2-8.714-5.17.1-3.595.9%11.3%27.2%12.5
Myles GaskinRB20.4-5.111.4-0.79-4.485.7%24.7%41.0%15.3
Jarvis LandryWR19.4-10.20019.4-10.20.0%47.0%39.5%9.2
Keenan AllenWR192.70017.64.10.0%27.3%22.9%21.7
Travis KelceTE195.900195.90.0%26.2%23.5%24.9
Robert WoodsWR18.310.14.42.513.97.624.9%15.6%17.2%28.4
Jamaal WilliamsRB18.209.7-0.28.50.278.2%13.7%24.4%18.2
Tee HigginsWR17.7-3.31.3-0.716.3-2.57.3%27.3%22.8%14.4
Julio JonesWR17.63.10017.63.10.0%37.3%27.1%20.7
Kendrick BourneWR17-0.90017-0.90.0%24.5%19.6%16.1
Braxton BerriosWR16.9-5.50016.9-5.50.0%39.8%32.1%11.4
Corey DavisWR16.8100016.8100.0%33.1%25.2%26.8
Anthony MillerWR16.7-1.40016.7-1.40.0%26.5%21.5%15.3
Jakobi MeyersWR16.5-2.70016.5-2.70.0%46.3%33.9%13.8
Jordan WilkinsRB164.314.72.21.32.151.2%2.2%18.5%20.3
T.J. HockensonTE15.4-1.90015.4-1.90.0%24.2%22.2%13.5
Chase ClaypoolWR15.3-0.10015.3-0.10.0%29.5%24.5%15.2
Jerry JeudyWR15.3-40015.3-40.0%25.0%22.6%11.3
Justin JacksonRB15.31.980.97.21.146.2%11.2%18.4%17.2
Josh ReynoldsWR15-6.60015-6.60.0%16.9%14.1%8.4
Giovani BernardRB14.887.74.57.13.543.0%11.9%19.0%22.8
Troymaine PopeRB14.504.729.8-227.2%15.2%17.4%14.5
Juju Smith-SchusterWR14.4-0.70014.4-0.70.0%27.8%23.0%13.7
Mecole HardmanWR14.28.40014.28.40.0%19.6%17.6%22.6
Stefon DiggsWR14.11.10014.11.10.0%51.8%32.2%15.2
James ConnerRB13.81.210.20.53.60.795.3%6.9%22.1%15
Jonathan TaylorRB13.6-8.57.8-5.65.7-2.827.2%9.9%15.7%5.1
A.J. BrownWR13.5-1.10013.5-1.10.0%26.6%20.3%12.4
Melvin GordonRB13.4-2.73.7-1.19.7-1.656.9%15.8%19.8%10.7
Gerald EverettTE13.4-5.20013.4-5.20.0%15.1%12.6%8.2
Noah FantTE13.3-1.60013.3-1.60.0%21.7%19.6%11.7
Mike WilliamsWR13.37.70.8-0.712.68.34.6%19.6%16.0%21
Tyler BoydWR136.60.80.112.26.54.5%20.5%16.7%19.6
Robby AndersonWR12.9-3.40012.9-3.40.0%31.7%26.0%9.5
JaMycal HastyRB12.9-2.811.4-2.51.5-0.365.9%2.2%14.9%10.1
Derrick HenryRB12.84.411.45.81.4-1.472.6%2.8%19.2%17.2
Jeff SmithWR12.5-6.60012.5-6.60.0%29.4%23.8%5.9
Marvin JonesWR12.46.50012.46.50.0%19.5%17.8%18.9
Jared CookTE11.84.30011.84.30.0%19.2%15.2%16.1
Trey BurtonTE11.8-1.73.42.88.4-4.511.8%14.5%13.6%10.1
Gus EdwardsRB11.82.910.44.31.4-1.458.8%3.2%19.4%14.7
Todd GurleyRB11.6-111.6-10065.5%0.0%17.9%10.6
Zack MossRB11.58.69.910.21.6-1.659.3%5.9%26.3%20.1
Curtis SamuelWR11.39.42.95.48.4432.2%20.6%22.7%20.7
Marvin HallWR11.14.20011.14.20.0%17.5%16.0%15.3
Tre'Quan SmithWR11-1.70011-1.70.0%17.9%14.2%9.3
Hayden HurstTE10.9-0.50010.9-0.50.0%23.1%16.8%10.4
Kareem HuntRB10.9-1.66.8-0.24.1-1.487.2%9.9%22.2%9.3
Auden TateWR10.82.70010.82.70.0%18.1%13.9%13.5
Darnell MooneyWR10.87.10010.87.10.0%17.1%13.9%17.9
Jerick McKinnonRB10.73.24.41.56.31.725.4%9.1%12.3%13.9
Jimmy GrahamTE10.5-7.20010.5-7.20.0%16.6%13.5%3.3
Willie SneadWR10.45.20010.45.20.0%24.1%17.1%15.6
Nyheim HinesRB10.310.92.8-27.512.99.8%13.0%11.9%21.2
Zach PascalWR10-2.6009.9-2.50.0%17.1%11.5%7.4
Allen RobinsonWR9.810.9009.810.90.0%15.5%12.6%20.7
Tyreek HillWR9.716.1009.716.10.0%13.4%12.0%25.8
J.K. DobbinsRB9.73.47.342.4-0.641.2%5.6%15.9%13.1
D.J. MooreWR9.5-2009.5-20.0%23.3%19.1%7.5
Damien HarrisRB9.56.79.56.70072.0%0.0%19.5%16.2
Mike DavisRB9.4-0.76.10.53.3-1.267.8%8.1%18.9%8.7
Samaje PerineRB9.418.11.11.2045.3%2.0%12.1%10.4
Mark AndrewsTE9.3-3.1009.3-3.10.0%21.5%15.3%6.2
Tyler LockettWR9.3-2009.3-20.0%14.2%11.1%7.3
Greg OlsenTE9.1-9.1009.1-9.10.0%13.9%10.9%0
Robert Tonyan Jr.TE8.94008.940.0%14.3%11.9%12.9
Demarcus RobinsonWR8.87.5008.87.50.0%12.2%10.9%16.3
DaeSean HamiltonWR8.79.5008.79.50.0%14.2%12.9%18.2
Brian HillRB8.6-0.25.30.23.3-0.429.9%7.0%13.3%8.4
Eric EbronTE8.46.4008.46.40.0%16.2%13.4%14.8
A.J. GreenWR8.4-4.5008.4-4.50.0%14.1%10.8%3.9
Preston WilliamsWR8.3-4.8008.3-4.80.0%22.8%16.7%3.5
Darren WallerTE8.2-0.4008.2-0.40.0%22.5%12.8%7.8
D'Andre SwiftRB8.1-2.82.7-2.65.4-0.245.8%8.5%11.7%5.3
Devin SingletaryRB82.26.81.81.30.340.7%4.8%18.3%10.2
Henry RuggsWR7.9-50.7-0.67.2-4.42.5%19.7%12.3%2.9
Clyde Edwards-HelaireRB7.9-1.83-0.94.9-0.936.1%6.8%9.8%6.1
Ross DwelleyTE7.70.9007.70.90.0%11.1%8.9%8.6
Latavius MurrayRB7.7-1.64-2.33.70.725.0%6.0%9.9%6.1
Hunter RenfrowWR7.35.3007.35.30.0%20.0%11.4%12.6
Malcolm BrownRB7.20.54.9-0.92.31.427.7%2.6%6.7%7.7
Phillip LindsayRB7.18.52.811.54.3-343.1%7.0%10.5%15.6
Deonte HarrisWR7-2.32.9-3.140.918.1%6.5%9.0%4.7
Darrell HendersonRB6.9-0.14.20.52.7-0.623.7%3.0%6.5%6.8
Tyler HigbeeTE6.8-3.4006.8-3.40.0%7.6%6.4%3.4
Le'Veon BellRB6.70.12.3-1.64.41.727.7%6.1%8.3%6.8
Taysom HillWR6.77.83.30.23.47.620.6%5.5%8.7%14.5
Mo Alie-CoxTE6.60.1006.60.10.0%11.4%7.6%6.7
Damiere ByrdWR6.50.4006.50.40.0%18.3%13.3%6.9
David NjokuTE6.5-3.6006.5-3.60.0%15.7%13.2%2.9
Marquise BrownWR6.40.9006.40.90.0%14.8%10.5%7.3
Marcus JohnsonWR6.4-0.5006.4-0.50.0%11.1%7.4%5.9
Justin JeffersonWR6.3-0.7006.3-0.70.0%29.0%13.0%5.6
K.J. HamlerWR6.34006.340.0%10.3%9.3%10.3
Kenny GolladayWR6.3-6.3006.3-6.30.0%9.9%9.1%0
Trent TaylorWR6.3-0.1006.3-0.10.0%9.1%7.3%6.2
Calvin RidleyWR6.21006.210.0%13.1%9.6%7.2
David MooreWR6.27.411.85.25.65.4%8.0%7.4%13.6
Miles BoykinWR6.13.9006.13.90.0%14.1%10.0%10
Hunter HenryTE6.11.2006.11.20.0%9.5%7.3%7.3
Lamical PerineRB6.1-0.83.7-12.30.337.0%5.4%11.6%5.3
Adam ThielenWR6-0.3006-0.30.0%27.6%12.4%5.7
Jace SternbergerTE61.60061.60.0%9.6%8.0%7.6
Danny AmendolaWR62.40062.40.0%9.4%8.6%8.4
George KittleTE6-0.1006-0.10.0%8.6%6.9%5.9
Joshua KelleyRB5.9-2.43.8-0.62.1-1.822.0%3.3%7.1%3.5
Jack DoyleTE5.84005.840.0%10.0%6.7%9.8
Jalen GuytonWR5.6-4.3005.6-4.30.0%8.7%6.7%1.3
Cam AkersRB5.60.84.2-0.71.41.523.7%1.6%5.2%6.4
James WhiteRB5.500.6-0.64.90.64.5%13.8%11.3%5.5
Juwan JohnsonWR5.5-4005.5-40.0%9.0%7.1%1.5
Byron PringleWR5.4-0.2005.4-0.20.0%7.5%6.7%5.2
Equanimeous St. BrownWR5.2-3005.2-30.0%8.4%7.0%2.2
DeVante ParkerWR4.82.5004.82.50.0%13.2%9.7%7.3
Nelson AgholorWR4.8-4.8004.8-4.80.0%13.2%7.5%0
Frank GoreRB4.8-1.84.8-1.80048.0%0.0%9.1%3
Ryan IzzoTE4.7-0.3004.7-0.30.0%13.2%9.7%4.4
Devin DuvernayWR4.70.2004.70.20.0%10.9%7.7%4.9
Denzel MimsWR4.61.6004.61.60.0%10.8%8.7%6.2
Anthony FirkserTE4.61004.610.0%9.1%6.9%5.6
Harrison BryantTE4.51004.510.0%10.9%9.2%5.5
Russell GageWR4.40.1004.40.10.0%9.3%6.8%4.5
Diontae JohnsonWR4.4-2.8004.4-2.80.0%8.5%7.0%1.6
Rashard HigginsWR4.3-1.9004.3-1.90.0%10.4%8.8%2.4
Tyler ErvinRB4.3-2.6004.3-2.60.0%6.9%5.8%1.7
Jacob HollisterTE4-2.4004-2.40.0%6.1%4.8%1.6
Rex BurkheadRB40.12.7-0.11.40.120.5%3.9%8.2%4.1
Kerryon JohnsonRB3.95.6003.95.60.0%6.1%5.6%9.5
Devontae BookerRB3.91.72.30.61.61.18.4%4.4%6.1%5.6
Adrian PetersonRB3.9-1.72.5-1.81.40.142.4%2.2%5.6%2.2
Ian ThomasTE3.82003.820.0%9.3%7.6%5.8
Cordarrelle PattersonWR3.8-1.30.6-0.23.2-1.14.1%5.1%4.9%2.5
A.J. DillonRB3.80.92.4-0.31.31.319.4%2.1%5.1%4.7
Gabriel DavisWR3.7-3.7003.7-3.70.0%13.6%8.4%0
Adam HumphriesWR3.6-3.6003.6-3.60.0%7.1%5.4%0
Albert OkwuegbunamTE3.64.3003.64.30.0%5.9%5.3%7.9
Jeremy McNicholsRB3.61.31.931.6-1.612.1%3.1%5.4%4.9
Jakeem GrantWR3.55003.5-10.0%9.6%7.0%8.5
Gabe NabersRB3.43.8003.43.80.0%5.3%4.1%7.2
Jason WittenTE3.30.8003.30.80.0%9.0%5.2%4.1
Christian BlakeWR3.30.1003.30.10.0%7.0%5.1%3.4
MyCole PruittTE3.3-3.3003.3-3.30.0%6.5%5.0%0
Chris HerndonTE3.2-1.9003.2-1.90.0%7.5%6.1%1.3
T.Y. HiltonWR3.2-0.3003.2-0.30.0%5.5%3.7%2.9
Durham SmytheTE3.10.5003.10.50.0%8.5%6.2%3.6
Jonnu SmithTE31.90031.90.0%5.9%4.5%4.9
Nick KeizerTE3-1.5003-1.50.0%4.1%3.7%1.5
Van JeffersonWR31.30031.30.0%3.4%2.8%4.3
Ty JohnsonRB2.90.21.501.40.215.0%3.3%5.5%3.1
Darrel WilliamsRB2.90.71.40.51.50.216.9%2.1%3.6%3.6
Kyle JuszczykRB2.81.3002.81.30.0%4.0%3.2%4.1
Cole BeasleyWR2.71.7002.71.70.0%9.9%6.2%4.4
Mike GesickiTE2.7-0.9002.7-0.90.0%7.4%5.4%1.8
Jaylen SamuelsRB2.6-2.6002.6-2.60.0%5.0%4.2%0
John BrownWR2.50.6002.50.60.0%9.2%5.7%3.1
Drew SampleTE2.4-2.4002.4-2.40.0%4.0%3.1%0
D'Onta ForemanRB2.41.32.41.30015.3%0.0%3.6%3.7
D'Ernest JohnsonRB2.2-0.11-0.41.20.312.8%2.9%4.5%2.1
Ryan NallRB2.1-0.9002.1-0.90.0%3.3%2.7%1.2
Isaiah FordWR1.90.1001.90.10.0%5.2%3.8%2
Matt BreidaRB1.9-0.61.9-0.60014.3%0.0%3.8%1.3
Marquez Valdes-ScantlingWR1.81.50.30.11.51.42.4%2.4%2.4%3.3
Ray-Ray McCloudRB1.7-0.1001.7-0.10.0%3.3%2.7%1.6
Darrius ShepherdWR1.7-0.1001.7-0.10.0%2.7%2.3%1.6
Jesse JamesTE1.71.6001.71.60.0%2.7%2.4%3.3
Chad BeebeWR1.61001.610.0%7.4%3.3%2.6
Isaiah ZuberWR1.60.7001.60.70.0%4.5%3.3%2.3
Adam ShaheenTE1.6-1.6001.6-1.60.0%4.4%3.2%0
Foster MoreauTE1.6-1.6001.6-1.60.0%4.4%2.5%0
Vyncint SmithWR1.60.7001.60.70.0%3.8%3.0%2.3
Jalen RichardRB1.61.20.40.21.211.5%3.3%2.5%2.8
Ashton DulinWR1.60.7001.60.70.0%2.8%1.8%2.3
Austin CarrWR1.60.4001.60.40.0%2.6%2.1%2
Will DisslyTE1.61.1001.61.10.0%2.5%1.9%2.7
Nick BelloreRB1.60.80.6-0.110.93.3%1.5%1.9%2.4
Darwin ThompsonRB1.6-1.31.6-1.30019.3%0.0%2.0%0.3
Irv Smith Jr.TE1.51.1001.51.10.0%6.9%3.1%2.6
Kyle RudolphTE1.50.7001.50.70.0%6.9%3.1%2.2
Malcolm PerryWR1.500-0.51.50.50.0%4.1%3.0%1.5
Colin ThompsonTE1.5-1.5001.5-1.50.0%3.7%3.0%0
Keith SmithRB1.5-1.5001.5-1.50.0%3.2%2.3%0
Kalif RaymondWR1.50.6001.50.60.0%3.0%2.3%2.1
Khari BlasingameRB1.50001.500.0%3.0%2.3%1.5
Malik TaylorWR1.52.1001.52.10.0%2.4%2.0%3.6
Javon WimsWR1.50.4001.50.40.0%2.4%1.9%1.9
Deon YelderTE1.50001.500.0%2.1%1.9%1.5
Tevin ColemanRB1.50.51.50.5008.7%0.0%1.7%2
James WashingtonWR1.4-1.4001.4-1.40.0%2.7%2.2%0
Michael PittmanWR1.40.2001.40.20.0%2.4%1.6%1.6
Tommylee LewisWR1.40.1001.40.10.0%2.3%1.8%1.5
Cole KmetTE1.4-0.2001.4-0.20.0%2.2%1.8%1.2
Tyler KroftTE1.30.8001.30.80.0%4.8%3.0%2.1
Chris ManhertzTE1.30.3001.30.30.0%3.2%2.6%1.6
Andy JanovichRB1.3-1.3001.3-1.30.0%3.1%2.6%0
James ProcheWR1.3-1.3001.3-1.30.0%3.0%2.1%0
Alexander MattisonRB1.3-0.51.3-0.5004.9%0.0%2.7%0.8
Nick BoyleTE1.2-1.2001.2-1.20.0%2.8%2.0%0
Cethan CarterTE1.20001.200.0%2.0%1.5%1.2
Josh HillTE1.10.6001.10.60.0%1.8%1.4%1.7
C.J. HamRB1-0.81-0.8003.7%0.0%2.1%0.2
Qadree OllisonRB0.8-0.50.8-0.5004.5%0.0%1.2%0.3
Jamal AgnewWR0.70.40.70.40011.9%0.0%1.0%1.1
Alec IngoldRB0.5-0.20.5-0.2001.8%0.0%0.8%0.3
Anthony McFarlandRB0.5-0.40.5-0.4004.7%0.0%0.8%0.1
Travis HomerRB0.400.40002.2%0.0%0.5%0.4
Gunner OlszewskiWR0.40.20.40.2003.0%0.0%0.8%0.6
Mike BurtonRB0.2-0.10.2-0.1001.3%0.0%0.3%0.1
Nsimba WebsterWR0000000.0%0.0%0.0%0
Xavier JonesRB0000000.0%0.0%0.0%0
Dante PettisWR0000000.0%0.0%0.0%0
Joe ReedWR0000000.0%0.0%0.0%0
K.J. HillWR0000000.0%0.0%0.0%0
Alex EricksonWR0000000.0%0.0%0.0%0
Dwayne WashingtonRB0000000.0%0.0%0.0%0
Marcedes LewisTE0000000.0%0.0%0.0%0
Tyrie ClevelandWR0000000.0%0.0%0.0%0
Brandon PowellWR0000000.0%0.0%0.0%0
Trey EdmundsRB0000000.0%0.0%0.0%0
Pharoh CooperWR0000000.0%0.0%0.0%0
Donovan Peoples-JonesWR0000000.0%0.0%0.0%0
Ameer AbdullahRB0000000.0%0.0%0.0%0
K.J. OsbornWR0000000.0%0.0%0.0%0
Mike BooneRB0000000.0%0.0%0.0%0
Andre RobertsWR0000000.0%0.0%0.0%0

When Changing Teams Actually Works

Last week we talked about how market share of expected points is one of the most predictive metrics for WRs. I suggested buying Denzel Mims on that basis. That didn’t quite work out (yet). But sometimes msEP aligns with other predictive metrics in a way that makes it irresistible. Week 8’s leader in msReEP (prior to Monday night) was Stefon Diggs. As Curtis Patrick reminds us, this shouldn’t be surprising:

Indeed, Diggs now leads all WRs in targets and trails only DeAndre Hopkins in receptions and yards.[1] The player who currently ranks third in yards is Robby Anderson. Yes, all three of the current leaders in receiving yards changed teams in the offseason. Diggs, Hopkins, and Anderson all rank inside the top 10 in both expected points and fantasy points.[2]

If Diggs was someone you were avoiding because of the risks associated with WRs changing teams, you should have paid closer attention to Madison Parkhill’s brilliant analysis in the offseason. If Hopkins didn’t make it onto any of your squads, you should have believed Tyler Loechner when he said Hopkins still has top-five upside. If Anderson wasn’t on your radar … I honestly don’t know what to say — Shawn Siegele was the only person I know of who was buying Anderson this offseason.[3]

It’s true that WRs who change teams tend to underperform, but as always, the best reason to be familiar with “rules” like this is to gain a better understanding of the exceptions. The truth is that WRs as good as Diggs rarely change teams, because WRs as good as Diggs rarely have reason to want to leave the team that enabled them to become so good. However, it became painfully clear in 2019 that Diggs was good in spite of the Vikings’ offense, not because of it.

So should we have been ignoring the findings of past studies (including my own) that WRs who change teams usually don’t play as well as they did before the team change?

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Footnotes

Footnotes
1 Which is especially impressive for Hopkins since he’s only played seven games.
2 Anderson also ranked 10th in msReEP in Week 8.
3 Just do what Shawn does.

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Blair Andrews

Managing Editor, Author of The Wrong Read, Occasional Fantasy Football League Winner. All opinions are someone else's.

Are We About to Get an Epic Performance from Jahmyr Gibbs? The Wrong Read, Week 12

Welcome to The Wrong Read. This weekly article uses advanced team-level metrics to preview the week’s upcoming matchups. The goal is to try to understand how an upcoming matchup might play out in terms of each offense’s ability to execute their game plan. How successful will they be when trying to pass? How much will they be able to run the ball? It’s impossible to…...

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Can Cleveland Throw in the Weather? The Wrong Read, Week 12 – Thursday Night Preview

Welcome to The Wrong Read. This weekly article uses advanced team-level metrics to preview the week’s upcoming matchups. The goal is to try to understand how an upcoming matchup might play out in terms of each offense’s ability to execute their game plan. How successful will they be when trying to pass? How much will they be able to run the ball? It’s impossible to…...

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Shane Waldron Wasn’t the Only Problem in Chicago, But Can a New Playcaller Unlock Caleb Williams? The Wrong Read, Week 11

Welcome to The Wrong Read. This weekly article uses advanced team-level metrics to preview the week’s upcoming matchups. The goal is to try to understand how an upcoming matchup might play out in terms of each offense’s ability to execute their game plan. How successful will they be when trying to pass? How much will they be able to run the ball? It’s impossible to…...

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Are We About to Get an Epic Performance from Jahmyr Gibbs? The Wrong Read, Week 12

Welcome to The Wrong Read. This weekly article uses advanced team-level metrics to preview the week’s upcoming matchups. The goal is to try to understand how an upcoming matchup might play out in terms of each offense’s ability to execute their game plan. How successful will they be when trying to pass? How much will they be able to run the ball? It’s impossible to…...

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Can Cleveland Throw in the Weather? The Wrong Read, Week 12 – Thursday Night Preview

Welcome to The Wrong Read. This weekly article uses advanced team-level metrics to preview the week’s upcoming matchups. The goal is to try to understand how an upcoming matchup might play out in terms of each offense’s ability to execute their game plan. How successful will they be when trying to pass? How much will they be able to run the ball? It’s impossible to…...

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Shane Waldron Wasn’t the Only Problem in Chicago, But Can a New Playcaller Unlock Caleb Williams? The Wrong Read, Week 11

Welcome to The Wrong Read. This weekly article uses advanced team-level metrics to preview the week’s upcoming matchups. The goal is to try to understand how an upcoming matchup might play out in terms of each offense’s ability to execute their game plan. How successful will they be when trying to pass? How much will they be able to run the ball? It’s impossible to…...

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