Dynasty rookie board

The same career-value model that runs the big board, pointed at the only question a dynasty GM ever has: which rookies return fantasy production, and for how long. Quarterbacks, running backs, receivers and tight ends only — nobody starts a left tackle.

The 2022 class has been drafted — this board is the model’s pre-draft read, useful as a receipt against how the rookies actually landed.

1QB starts one quarterback, so even good QB prospects slide — QBs carry a 0.80 multiplier. Superflex starts two, which makes the position the scarcest asset in the format — QBs carry 1.30 instead. Nothing else changes between the two boards.

#PlayerPosCollegeDynasty scoreHow it's builtBustTierConsensus
1Garrett WilsonWROhio St.95.586.8 × 1.101%Elite12
2Kenny PickettQBPittsburgh94.872.9 × 1.3018%Starter34
3Desmond RidderQBCincinnati94.872.9 × 1.3015%Role player41
4Sam HowellQBNorth Carolina94.672.8 × 1.3011%Starter61
5Malik WillisQBLiberty94.272.5 × 1.3027%Role player28
6Jameson WilliamsWRAlabama93.985.4 × 1.100%Starter10
7Treylon BurksWRArkansas87.979.9 × 1.1030%Starter22
8Drake LondonWRUSC87.179.2 × 1.103%Starter13
9Matt CorralQBMississippi79.461.1 × 1.3024%Bust50
10Jahan DotsonWRPenn St.78.271.1 × 1.1018%Starter32
11Chris OlaveWROhio St.76.069.1 × 1.104%Starter15
12Skyy MooreWRWestern Michigan74.767.9 × 1.1014%Starter38
13Christian WatsonWRNorth Dakota St.73.967.1 × 1.108%Starter51
14Breece HallRBIowa St.73.286.1 × 0.85 × 1.0013%Role player47
15John MetchieWRAlabama70.363.9 × 1.101%Role player71
16George PickensWRGeorgia66.260.2 × 1.104%Starter42
17Trey McBrideTEColorado St.64.367.7 × 0.9518%Starter58
18Kenneth Walker IIIRBMichigan St.62.173.0 × 0.85 × 1.006%Role player46
19Tyquan ThorntonWRBaylor59.854.3 × 1.1026%Role player129
20David BellWRPurdue57.752.5 × 1.1016%Role player76
21Calvin Austin IIIWRMemphis55.050.0 × 1.1021%Role player119
22Alec PierceWRCincinnati54.149.2 × 1.1018%Starter95
23Cade OttonTEWashington53.856.6 × 0.9518%Starter128
24Jalen TolbertWRSouth Alabama51.546.8 × 1.1014%Role player112
25Khalil ShakirWRBoise St.50.345.8 × 1.1030%Starter141
26Isaiah LikelyTECoastal Carolina49.452.0 × 0.9519%Starter145
27Isaiah SpillerRBTexas A&M49.357.9 × 0.85 × 1.0018%Role player67
28Chig OkonkwoTEMaryland48.951.5 × 0.9527%Role player150
29Brock PurdyQBIowa St.47.136.2 × 1.3031%Elite
30Bailey ZappeQBWestern Kentucky45.334.9 × 1.3025%Role player151
31Wan'Dale RobinsonWRKentucky43.939.9 × 1.1012%Starter154
32Brian Robinson Jr.RBAlabama43.554.1 × 0.85 × 0.9415%Role player98
33Daniel BellingerTESan Diego St.43.445.7 × 0.9526%Role player138
34Dareke YoungWRLenoir-Rhyne43.139.1 × 1.1020%Bust
35Greg DulcichTEUCLA40.843.0 × 0.9523%Role player86
36Chris OladokunQBSouth Dakota St.40.230.9 × 1.3032%Role player
37Jeremy RuckertTEOhio St.39.741.8 × 0.9528%Role player107
38Pierre StrongRBSouth Dakota St.39.049.2 × 0.85 × 0.9319%Role player121
39Rachaad WhiteRBArizona St.38.648.6 × 0.85 × 0.9410%Role player93
40Dameon PierceRBFlorida37.744.7 × 0.85 × 0.9920%Role player123
41Kyren WilliamsRBNotre Dame37.143.7 × 0.85 × 1.0074%Elite111
42Tyler AllgeierRBBYU36.843.3 × 0.85 × 1.006%Role player91
43Romeo DoubsWRNevada36.333.0 × 1.1012%Starter140
44Montrell WashingtonWRSamford36.132.8 × 1.1020%Role player
45Kyle PhilipsWRUCLA35.632.4 × 1.1039%Role player103
46Danny GrayWRSMU35.632.3 × 1.1022%Bust147
47Bo MeltonWRRutgers34.931.7 × 1.1032%Role player
48Andrew OgletreeTEYoungstown St.34.936.8 × 0.9527%Role player
49James CookRBGeorgia34.241.4 × 0.85 × 0.9734%Elite159
50Jalen NailorWRMichigan St.34.030.9 × 1.1038%Role player
51Kevin HarrisRBSouth Carolina33.739.7 × 0.85 × 1.0011%Role player
52Erik EzukanmaWRTexas Tech33.530.5 × 1.1036%Role player
53Zamir WhiteRBGeorgia32.839.9 × 0.85 × 0.9720%Role player99
54Keaontay IngramRBUSC32.339.0 × 0.85 × 0.9722%Role player
55Michael Woods IIWROklahoma30.928.1 × 1.1028%Role player
56Hassan HaskinsRBMichigan30.736.9 × 0.85 × 0.9810%Role player
57Tyler BadieRBMissouri30.436.2 × 0.85 × 0.9922%Role player
58Jerome FordRBCincinnati29.335.5 × 0.85 × 0.9714%Role player124
59Nick MuseTESouth Carolina29.030.6 × 0.9521%Bust
60Connor HeywardTEMichigan St.28.730.2 × 0.9517%Role player
61Isiah PachecoRBRutgers28.235.2 × 0.85 × 0.9452%Role player
62James MitchellTEVirginia Tech27.929.4 × 0.9526%Role player
63Trestan EbnerRBBaylor27.835.1 × 0.85 × 0.9335%Bust
64Teagan QuitorianoTEOregon St.26.928.3 × 0.9521%Role player
65Jelani WoodsTEVirginia26.728.2 × 0.9523%Bust160
66Jake FergusonTEWisconsin26.327.7 × 0.9517%Elite164
67Charlie KolarTEIowa St.26.027.3 × 0.9522%Role player146
68Ko KieftTEMinnesota25.727.0 × 0.9521%Role player
69Tyrion Davis-PriceRBLSU25.630.1 × 0.85 × 1.0033%Role player
70Skylar ThompsonQBKansas St.25.119.3 × 1.3031%Role player
71Zander HorvathRBPurdue24.531.0 × 0.85 × 0.9334%Bust
72John FitzPatrickTEGeorgia23.524.8 × 0.9512%Bust
73Snoop ConnerRBMississippi22.226.1 × 0.85 × 1.0049%Bust
74Cole TurnerTENevada20.621.7 × 0.9535%Bust
75Brittain BrownRBUCLA20.427.5 × 0.85 × 0.8734%Bust
76Velus Jones Jr.WRTennessee20.318.4 × 1.1038%Role player143
77Grant CalcaterraTESMU18.419.3 × 0.9533%Role player
78Ty ChandlerRBNorth Carolina15.620.3 × 0.85 × 0.9040%Role player
79Samori ToureWRNebraska12.111.0 × 1.1011%Role player

How this differs from the big board

Built from the same models as the big board — here's exactly how the lens differs. The base is the served career-value model score, untouched. On top of it sit three documented adjustments, all shown per player in the table:

Dynasty score = model score × position multiplier (Superflex) × RB age multiplier

  • Position: QB ×1.30, RB ×0.85, WR ×1.10, TE ×0.95 — QB scarcity by format, the RB career-length discount, the WR longevity premium, the TE slow-onboarding haircut.
  • RB age cliff: RB only: 1.00 at age 22 or younger at draft, minus 0.05 per year older, floor 0.85. When we don't have a player's age on file, no adjustment is applied and the row says so.
  • Tier reads: shown only where the tier model itself stands behind them; when it isn't confident, you get a dash, not a guess.

The multipliers are round numbers encoding dynasty-market convention (QB scarcity by format, the RB age cliff, WR longevity, the TE year-3 breakout) — convention, not Draftanomics research. The model signal is entirely in the base. College production volume (target and workload share) is already inside the base score as model features — it isn't double-counted here. See methodology for how the career-value model is fit and validated.