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Zach Abey

#9Zach Abey

WR·Navy·2018201720160.8 pts line value1st Round

Zach Abey is a 3-year Workhorse Receiver WR for Navy. Zach's 2016 season ranks in the 60th percentile nationally by opponent-adjusted EPA per play across 93 plays — a 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 Zach Abey'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

Passing
20/35 Comp/Att352 Pass yards1 Pass TD4 INT57.1% Comp %
Rushing
384 Rush yards6 Rush TD70 Carries5.5 Yards/carry

Performance Analysis · 2016 · vs WR peers

  • Efficiency60
  • Volume100
  • Explosiveness40
  • Consistency54
  • Pass-Down63
Player type
Workhorse Receiver WR

The primary target in the offense — used across all situations and down-types at an elite volume.

Top target shareAll-down utilityOffense runs through this player
Peer percentiles
Opponent-adjusted EPA (WEPA/play)60th %ile · average
Game-to-game consistency54th %ile · average
Career trajectory:→ Stable
Key findings
  • High-volume role — one of the team's most-used WRs by play share.
  • Peak game: 1.03 EPA/play in Wk 13 vs SMU (SP+ -11).

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
Jafar ArmstrongNotre Dame0.3201.025.3
Eli HeidenreichNavy0.3400.722.4
Chris TyreeNotre Dame0.3100.623.6
Aaron BedgoodLiberty0.3501.121.0
Isaiah WilliamsIllinois0.3801.222.4

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

Game Log · EPA per play, week by week

+1.0301.03Wk 12 vs East Carolina: -0.13 EPA/play12Wk 13 vs SMU: +1.03 EPA/play13Wk 14 vs Temple: +0.03 EPA/play14Wk 15 vs Army: +0.07 EPA/play15Wk 1 vs Louisiana Tech: +0.36 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+EPA/playPassRush
12@East CarolinaW66-31-9.0-0.13-0.13
13@SMUW75-31-10.81.031.03
14vsTempleL10-3411.90.03-0.200.37
15vsArmyL17-21-9.90.07-0.010.12
1vsLouisiana TechL45-483.10.360.650.18

Usage & Situational · Pro

Snap-share proxy
Overall
36.2%
Passing plays
72.4%
Rushing plays
27.6%
Standard downs
33.0%
Passing downs
47.6%
EPA by down type
Standard downs
0.15
Passing downs
0.23
Pass / Rush EPA
0.14 / 0.20

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.470−0.7120172018
EPA per play · 2016 — 2018 · 27 games
SeasonTeamLine valueTotal EPA
2016Navy
0.8
25.9
2017Navy
2.9
101.8
2018Navy
2.1
46.6

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.