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Seth Green

#17Seth Green

TE·Minnesota·20180.0 pts line value1st Round

Seth Green is a Vertical Threat TE for Minnesota. Seth's 2018 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 80 plays — a developing rate for the TE.

What projects, and what doesn't · TEs · 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)0.42
    Beats guessing the TE average by 9%. n=2,225 TE seasons
  • EPA per play (efficiency)0.04
    Not projectable — we do not forecast this. n=2,016 TE seasons
  • Total EPA (value)0.46
    Beats guessing the TE average by 13%. n=2,016 TE seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Seth Green'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.

2018 Production

Rushing
282 Rush yards8 Rush TD76 Carries3.7 Yards/carry
Receiving
2 Receptions37 Rec yards0 Rec TD18.5 Yards/rec

Performance Analysis · 2018 · vs TE peers

  • Efficiency0
  • Volume27
  • Explosiveness77
  • Consistency60
  • Pass-Down4
Player type
Vertical Threat TE

Elite deep receiver who stretches the field. Wins downfield, commands safety attention, and creates the threat that opens underneath routes.

Downfield threatYAC upsideCreates space for teammates
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency60th %ile · average
Key findings
  • Below-average efficiency vs TE peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.62 EPA/play decline from first to second half.
  • Peak game: 2.32 EPA/play in Wk 1 vs New Mexico State (SP+ -20).

Historical Comparables · TE · 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
Ty ThompsonTulane0.4200.720.2
Johnny LanganRutgers0.3000.017.7
Evan SvobodaWyoming0.2900.521.8
Jordan MyersRice0.2700.215.9
Heinrich HaarbergNebraska0.2600.629.1

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

Game Log · box score + EPA, week by week

+2.3202.32Wk 1 vs New Mexico State: +2.32 EPA/play1Wk 2 vs Fresno State: +0.43 EPA/play2Wk 3 vs Miami (OH): +1.19 EPA/play3Wk 4 vs Maryland: +0.91 EPA/play4Wk 6 vs Iowa: +0.28 EPA/play6Wk 7 vs Ohio State: +0.02 EPA/play7Wk 8 vs Nebraska: -0.05 EPA/play8Wk 9 vs Indiana: +0.43 EPA/play9Wk 10 vs Illinois: +0.12 EPA/play10Wk 11 vs Purdue: +0.67 EPA/play11Wk 12 vs Northwestern: -0.53 EPA/play12Wk 13 vs Wisconsin: +0.45 EPA/play13Wk 1 vs Georgia Tech: +0.28 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsNew Mexico StateW48-10-20.22.32
2vsFresno StateW21-1417.40.43
3vsMiami (OH)W26-3-0.71.19
4@MarylandL13-423.00.91
6vsIowaL31-4813.30.28
7@Ohio StateL14-3024.10.02
8@NebraskaL28-535.413131.0031-0.05
9vsIndianaW38-311.60.43
10@IllinoisL31-55-7.90.12
11vsPurdueW41-106.50.67
12vsNorthwesternL14-241.9166.006-0.53
13@WisconsinW37-1515.50.45
1vsGeorgia TechW34-100.30.28

Usage & Situational · Pro

Snap-share proxy
Overall
9.6%
Passing plays
2.5%
Rushing plays
15.3%
Standard downs
12.4%
Passing downs
3.6%
EPA by down type
Standard downs
0.40
Passing downs
0.12
Pass / Rush EPA
0.44 / 0.35

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+2.600−0.82
EPA per play · 2018 · 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.