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Zach Abey

#9Zach Abey

WR·Navy·2018201720162.9 pts line value1st Round

Zach Abey is a 3-year Red Zone Weapon WR for Navy. Zach's 2017 season ranks in the 50th percentile nationally by opponent-adjusted EPA per play across 312 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.

2017 Production

Passing
31/72 Comp/Att805 Pass yards7 Pass TD7 INT43.1% Comp %
Rushing
1413 Rush yards19 Rush TD293 Carries4.8 Yards/carry
Receiving
1 Receptions5 Rec yards1 Rec TD5.0 Yards/rec

Performance Analysis · 2017 · vs WR peers

  • Efficiency50
  • Volume100
  • Explosiveness0
  • Consistency64
  • Pass-Down58
Player type
Red Zone Weapon WR

Goes from good to great inside the 20 — high TD conversion on limited looks makes this receiver a scoring machine.

Red zone targetHigh TD rateSize/catch radius advantage
Peer percentiles
Opponent-adjusted EPA (WEPA/play)50th %ile · average
Game-to-game consistency64th %ile · average
Career trajectory:→ Stable
Key findings
  • High-volume role — one of the team's most-used WRs by play share.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.17 EPA/play decline from first to second half.
  • Peak game: 0.75 EPA/play in Wk 1 vs Virginia (SP+ 1).

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
Shai WertsGeorgia Southern0.3602.351.8
D.J. FosterArizona State0.2001.034.8
Shai WertsGeorgia Southern0.2101.932.1
Shai WertsGeorgia Southern0.3101.039.7
Lynn Bowden Jr.Kentucky0.5206.391.5

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

Game Log · box score + EPA, week by week

+0.7500.75Wk 1 vs Florida Atlantic: +0.46 EPA/play1Wk 4 vs Cincinnati: +0.42 EPA/play4Wk 5 vs Tulsa: +0.39 EPA/play5Wk 6 vs Air Force: +0.49 EPA/play6Wk 7 vs Memphis: +0.03 EPA/play7Wk 8 vs UCF: +0.46 EPA/play8Wk 10 vs Temple: +0.33 EPA/play10Wk 12 vs Notre Dame: +0.12 EPA/play12Wk 13 vs Houston: -0.43 EPA/play13Wk 15 vs Army: -0.10 EPA/play15Wk 1 vs Virginia: +0.75 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Florida AtlanticW42-195.10.46
2vsTulaneW23-21-5.7
4vsCincinnatiW42-32-6.40.42
5@TulsaW31-21-10.70.39
6vsAir ForceW48-45-11.00.49
7@MemphisL27-307.80.03
8vsUCFL21-3114.10.46
10@TempleL26-340.5155.0150.33
12@Notre DameL17-2420.80.12
13@HoustonL14-247.7-0.43
15vsArmyL13-14-5.3-0.10
1vsVirginiaW49-70.80.75

Usage & Situational · Pro

Snap-share proxy
Overall
40.9%
Passing plays
68.4%
Rushing plays
37.6%
Standard downs
41.1%
Passing downs
40.4%
EPA by down type
Standard downs
0.30
Passing downs
0.34
Pass / Rush EPA
0.42 / 0.28

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.