|
#
|
Player
|
Team
|
Pos
|
OVR
|
Proj Pts
|
PPG
|
Katz
|
Soppe
|
Value
|
|---|---|---|---|---|---|---|---|---|---|
| 1 |
CIN
|
WR | 1 | 390.8 | 23.4 | 3 | 3 | 117.4 | |
| 2 |
ATL
|
RB | 2 | 388.5 | 23.1 | 2 | 1 | 114.8 | |
| 3 |
DET
|
RB | 3 | 343.9 | 20.7 | 1 | 2 | 112.4 | |
| 4 |
LAR
|
WR | 4 | 348.4 | 20.9 | 4 | 4 | 110.0 | |
| 5 |
J
Jordan Hale
|
SEA | WR | 13 | 320.8 | 19.2 | 6 | 5 | 91.4 |
| 6 |
M
Miles Porter
|
CHI | RB | 14 | 309.2 | 18.6 | 7 | 6 | 86.6 |
| 7 |
E
Evan Brooks
|
DEN | TE | 15 | 297.6 | 18.0 | 8 | 7 | 81.8 |
| 8 |
C
Cole Ramirez
|
TB | WR | 16 | 286.0 | 17.4 | 9 | 8 | 77.0 |
| 9 |
N
Nate Ellison
|
NYJ | RB | 17 | 274.4 | 16.8 | 10 | 9 | 72.2 |
| 10 |
D
Drew Lang
|
ATL | TE | 18 | 262.8 | 16.2 | 11 | 10 | 67.4 |
| 11 |
C
Chris Bowen
|
CLE | WR | 19 | 251.2 | 15.6 | 12 | 11 | 62.6 |
| 12 |
T
Tyler Grant
|
MIN | RB | 20 | 239.6 | 15.0 | 13 | 12 | 57.8 |
FantasyHQ+ Core
See who to take after the obvious four
Core puts Proj, PPG, Katz, and Soppe on every name left on this board. Draft the next tier instead of guessing it.
- Season Proj + PPG
- Katz ranks
- Soppe ranks
No players match that filter.
Draft case studies
How FantasyHQ uses the board — expand a player card for percentages, data sources, and draft decisions.
01
Josh Allen
BUF · QB · OVR 27
# vs OVR
Case study
Allen is QB1 on the board but only overall ~27. Positional dominance ≠ early ADP in 1QB leagues.
Season projection relative to the top QB on this board.
Value vs max on the full FantasyHQ board (~117).
Katz 33 vs consensus 27 (−6 · slightly colder).
Soppe 28 vs consensus 27 — nearly locked.
Where the numbers come from
- # — order among QBs on this board
- OVR — FantasyHQ consensus across all positions
- Proj / PPG — season projection model for Half PPR
- Katz / Soppe — independent analyst boards
- Value — trade chart (Trade Analyzer family)
How to use it next
- Superflex / 2QB → draft off #
- 1QB → wait for OVR timing after RB/WR studs
- Confirm injury/depth on the player profile before you lock
02
Ja'Marr Chase
CIN · WR · OVR 1
Redraft vs dynasty
Case study
Chase leads both boards. The lesson is the tier below — youth climbs on dynasty; aging win-now WRs drift.
Top projected WR on the redraft PPR board.
Also WR1 on dynasty — format switch matters more in the next tier.
Where the numbers come from
- Same consensus engine, different objective
- Redraft = this season only
- Dynasty weights age and multi-year upside
How to use it next
- Rebuilding startups → draft from the dynasty WR board
- Compare tiers 2–4 side by side before you reach
03
Bijan Robinson
ATL · RB · OVR 2
RB scarcity & Value
Case study
Bijan, Gibbs, and McCaffrey cluster near the top of OVR and Trade Value — scarcity pricing for reliable volume.
Top projected RB on the redraft PPR board.
Value ~115 vs board max ~117 — early-pick trade equity.
Where the numbers come from
- Value = FantasyHQ trade chart score
- High Value + high OVR = midseason move equity
How to use it next
- Two flex options close on Proj Pts → take higher Value if you might trade
- Verify deals in the Trade Analyzer
04
Rhamondre Stevenson
NE · RB · OVR 90
Katz sleeper (+20)
Case study
Katz ranks Stevenson ~20 spots ahead of consensus — a research flag, not an auto-draft.
Consensus 90 · Katz 70 — analyst hotter / sleeper lean.
Gap as a % of consensus rank depth.
Where the numbers come from
- Sleeper score = consensus OVR − analyst rank
- Positive = analyst hotter than the board
- Sleepers tool filters outside top 70 with 12+ edge
How to use it next
- Open the profile — check snaps and depth
- Decide if the gap is injury noise or a real buy
05
DeVonta Smith
PHI · WR · OVR 26
Soppe fade (−9)
Case study
Consensus loves the name; Soppe is colder — a fade checklist item, not a panic sell by itself.
Consensus 26 · Soppe 35 — analyst colder / fade lean.
Use with Katz and injury context before you pass.
Where the numbers come from
- Bust signal = analyst colder than consensus
- Busts tool surfaces sticky-ADP names with that pattern
How to use it next
- If Katz and Soppe both lean cold, passing in round 3 is easier
- Confirm injury/depth on the profile first
06
Puka Nacua
LAR · WR · OVR 4
PPG planning
Case study
Season Proj Pts can hide uneven games. When two WRs sit within ~15 projected points, sort by PPG for byes and injury risk.
348.4 proj vs Chase 390.8 on redraft PPR.
PPG = projected points ÷ expected games in the model.
Where the numbers come from
- PPG from the FantasyHQ projection model for this scoring format
- Better than season totals when games played differ
How to use it next
- Once the season starts, pair the board with Start/Sit
- Don’t stare at season totals alone for weekly calls