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Cole Gautsche

#8Cole Gautsche

TE·New Mexico·20131.0 pts line value1st Round

Cole Gautsche is a Workhorse Receiver TE for New Mexico. Cole's 2013 season ranks in the 67th percentile nationally by opponent-adjusted EPA per play across 165 plays — a average 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 Cole Gautsche'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.

2013 Production

Passing
35/78 Comp/Att639 Pass yards7 Pass TD4 INT44.9% Comp %
Rushing
777 Rush yards8 Rush TD118 Carries6.6 Yards/carry

Performance Analysis · 2013 · vs TE peers

  • Efficiency67
  • Volume90
  • Explosiveness22
  • Consistency78
  • Pass-Down100
Player type
Workhorse Receiver TE

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)67th %ile · average
Game-to-game consistency78th %ile · above avg
Key findings
  • High-volume role — one of the team's most-used TEs by play share.
  • High game-to-game consistency — reliable floor each week.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.14 EPA/play decline from first to second half.
  • Peak game: 0.52 EPA/play in Wk 6 vs New Mexico State (SP+ -35).

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
Johnny LanganRutgers0.2400.028.1
Heinrich HaarbergNebraska0.2600.629.1
Gino CampiottiMassachusetts0.2200.721.3
Connor BlumrickTexas A&M0.2300.024.4
Kaden FeaginIllinois0.1800.017.6

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

Game Log · EPA per play, week by week

+0.5200.52Wk 1 vs UTSA: +0.20 EPA/play1Wk 3 vs Pittsburgh: +0.15 EPA/play3Wk 5 vs UNLV: +0.26 EPA/play5Wk 6 vs New Mexico State: +0.52 EPA/play6Wk 7 vs Wyoming: +0.23 EPA/play7Wk 8 vs Utah State: +0.29 EPA/play8Wk 10 vs San Diego State: +0.06 EPA/play10Wk 11 vs Air Force: +0.31 EPA/play11Wk 12 vs Colorado State: -0.09 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+EPA/playPassRush
1vsUTSAL13-21-6.60.20-0.360.57
3@PittsburghL27-499.40.15-0.960.31
5vsUNLVL42-56-10.10.26-0.030.40
6vsNew Mexico StateW66-17-35.10.52-0.050.68
7@WyomingL31-38-15.30.230.290.12
8vsUtah StateL10-454.20.290.92-0.34
10@San Diego StateL30-35-4.80.06-0.050.20
11vsAir ForceW45-37-16.90.31-0.990.47
12vsColorado StateL42-663.0-0.090.26-0.31

Usage & Situational · Pro

Snap-share proxy
Overall
31.6%
Passing plays
52.7%
Rushing plays
25.4%
Standard downs
29.2%
Passing downs
37.1%
EPA by down type
Standard downs
0.08
Passing downs
0.41
Pass / Rush EPA
0.05 / 0.31

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.580−0.15
EPA per play · 2013 · 9 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.