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Quadree Henderson
Quadree Henderson

#10Quadree Henderson

WR·Pittsburgh·20161.6 pts line value1st Round

Quadree Henderson is a Versatile WR for Pittsburgh. Quadree's 2016 season ranks in the 80th percentile nationally by opponent-adjusted EPA per play across 98 plays — a above-average rate for the WR.

What projects, and what doesn't · WRs · held out 2019-2025

How well one season predicts the next, measured on seasons the model never trained on. 1.00 would be perfectly predictable; 0.00 means last year told us nothing.

  • Usage share (volume)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Quadree Henderson's projection is a projection of opportunity — how much of the offense he runs through. How well he converts it is something this model does not claim to know a year in advance, and the number above is why.

2016 Production

Rushing
631 Rush yards5 Rush TD60 Carries10.5 Yards/carry
Receiving
26 Receptions286 Rec yards1 Rec TD11.0 Yards/rec
Returns
31 Kick returns914 KR yards3 KR TD16 Punt returns252 PR yards1 PR TD

Performance Analysis · 2016 · vs WR peers

  • Efficiency80
  • Volume33
  • Explosiveness27
  • Consistency68
  • Pass-Down28
Player type
Versatile WR

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)80th %ile · above avg
Game-to-game consistency68th %ile · average
Key findings
  • Above-average efficiency for the WR position (80th percentile).
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.45 EPA/play decline from first to second half.
  • Peak game: 1.19 EPA/play in Wk 2 vs Penn State (SP+ 19).

Historical Comparables · WR · efficiency + volume + value

Players from 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamWEPA/playLine valTotal EPA
Keytaon ThompsonMississippi State0.4601.232.2
Kendall HintonWake Forest0.4602.438.6
DeAndre HughesAir Force0.4701.328.2
Bert Emanuel Jr.Central Michigan0.4601.624.4
Javion PoseyFlorida Atlantic0.4501.423.8

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

+1.1901.19Wk 1 vs Villanova: +0.57 EPA/play1Wk 2 vs Penn State: +1.19 EPA/play2Wk 3 vs Oklahoma State: +1.11 EPA/play3Wk 4 vs North Carolina: +0.27 EPA/play4Wk 5 vs Marshall: +0.33 EPA/play5Wk 6 vs Georgia Tech: +0.73 EPA/play6Wk 7 vs Virginia: -0.19 EPA/play7Wk 9 vs Virginia Tech: -0.21 EPA/play9Wk 10 vs Miami: +0.43 EPA/play10Wk 11 vs Clemson: -0.34 EPA/play11Wk 12 vs Duke: +0.53 EPA/play12Wk 13 vs Syracuse: +0.80 EPA/play13Wk 1 vs Northwestern: +0.30 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsVillanovaW28-74358.80190.57
2vsPenn StateW42-3919.034715.71241.19
3@Oklahoma StateL38-4516.423115.50221.11
4@North CarolinaL36-3715.93134.3070.27
5vsMarshallW43-27-12.733210.70170.33
6vsGeorgia TechW37-347.82168.00110.73
7@VirginiaW45-31-3.8-0.19
9vsVirginia TechL36-3915.234715.7037-0.21
10@MiamiL28-5118.611010.00100.43
11@ClemsonW43-4228.7-0.34
12vsDukeW56-14-2.82105.0060.53
13vsSyracuseW76-61-2.70.80
1vsNorthwesternL24-312.934515.00370.30

Usage & Situational · Pro

Snap-share proxy
Overall
11.4%
Passing plays
12.0%
Rushing plays
11.3%
Standard downs
11.1%
Passing downs
12.0%
EPA by down type
Standard downs
0.52
Passing downs
0.38
Pass / Rush EPA
0.35 / 0.55

Usage = share of team plays (CFBD has no true snap counts).

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.340−0.49
EPA per play · 2016 · 13 games

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.