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Shane Tucker

#1Shane Tucker

WR·Middle Tennessee·201520141.6 pts line value1st Round

Shane Tucker is a 2-year Versatile WR for Middle Tennessee. Shane's 2014 season ranks in the 71th percentile nationally by opponent-adjusted EPA per play across 122 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 Shane Tucker'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.

2014 Production

Rushing
486 Rush yards8 Rush TD97 Carries5.0 Yards/carry
Receiving
25 Receptions351 Rec yards4 Rec TD14.0 Yards/rec

Performance Analysis · 2014 · vs WR peers

  • Efficiency71
  • Volume44
  • Explosiveness47
  • Consistency68
  • Pass-Down100
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)71th %ile · average
Game-to-game consistency68th %ile · average
Key findings
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.44 EPA/play decline from first to second half.
  • Peak game: 1.32 EPA/play in Wk 1 vs Savannah State.

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
Jerrod HeardTexas0.2901.633.6
Shai WertsGeorgia Southern0.3101.039.7
Zach AbeyNavy0.3702.146.6
James GrahamGeorgia Tech0.2801.725.5
Shai WertsGeorgia Southern0.3602.351.8

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

Game Log · box score + EPA, week by week

+1.3201.32Wk 1 vs Savannah State: +1.32 EPA/play1Wk 2 vs Minnesota: +0.48 EPA/play2Wk 3 vs Western Kentucky: +0.39 EPA/play3Wk 4 vs Memphis: +0.63 EPA/play4Wk 5 vs Old Dominion: -0.26 EPA/play5Wk 6 vs Southern Miss: +1.17 EPA/play6Wk 7 vs Marshall: +0.22 EPA/play7Wk 8 vs UAB: +0.02 EPA/play8Wk 10 vs BYU: +0.07 EPA/play10Wk 12 vs Florida International: +0.16 EPA/play12Wk 14 vs UTEP: +0.45 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsSavannah StateW61-72115.5161.32
2@MinnesotaL24-356.822412.00120.48
3vsWestern KentuckyW50-47-2.615252.00520.39
4@MemphisL17-365.634214.00260.63
5@Old DominionW41-28-12.712727.0127-0.26
6vsSouthern MissW37-31-15.967813.00181.17
7@MarshallL24-4916.83299.71160.22
8vsUABW34-22-4.2166.0060.02
10vsBYUL7-2710.22147.00160.07
12@Florida InternationalL28-38-16.212828.01280.16
13vsFlorida AtlanticW35-34-10.4
14@UTEPL21-24-12.034013.30190.45

Usage & Situational · Pro

Snap-share proxy
Overall
15.5%
Passing plays
10.1%
Rushing plays
19.6%
Standard downs
16.8%
Passing downs
11.9%
EPA by down type
Standard downs
0.27
Passing downs
0.83
Pass / Rush EPA
0.76 / 0.25

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.510−0.762015
EPA per play · 2014 — 2015 · 21 games
SeasonTeamLine valueTotal EPA
2014Middle Tennessee
1.6
31.0
2015Middle Tennessee
0.0
4.5

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.