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Isaac Rex

#83Isaac Rex

TE·BYU·2023

Isaac Rex is a Versatile TE for BYU. Isaac's 2023 season produced 23.4 total EPA across 46 plays.

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 Isaac Rex'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.

2023 Production

Receiving
34 Receptions422 Rec yards3 Rec TD12.4 Yards/rec

Performance Analysis · 2023 · vs TE peers

  • Efficiency100
  • Volume19
  • Explosiveness36
  • Consistency35
  • Pass-Down57
Player type
Versatile TE

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency35th %ile · below avg
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.27 from the first to second half of the season.
  • Peak game: 2.48 EPA/play in Wk 12 vs Oklahoma (SP+ 15).

NIL Market Tier· 2023

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand deals.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

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
Seth GreenMinnesota0.3900.032.4
Johnny LanganRutgers0.3000.017.7
Evan SvobodaWyoming0.2900.521.8
Jordan MyersRice0.2700.215.9

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

Game Log · box score + EPA, week by week

+2.4802.48Wk 1 vs Sam Houston: -0.38 EPA/play1Wk 2 vs Southern Utah: +0.89 EPA/play2Wk 3 vs Arkansas: +1.37 EPA/play3Wk 4 vs Kansas: +0.80 EPA/play4Wk 5 vs Cincinnati: -0.14 EPA/play5Wk 7 vs TCU: -0.69 EPA/play7Wk 8 vs Texas Tech: +0.18 EPA/play8Wk 10 vs West Virginia: -0.81 EPA/play10Wk 11 vs Iowa State: +0.81 EPA/play11Wk 12 vs Oklahoma: +2.48 EPA/play12Wk 13 vs Oklahoma State: +0.23 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsSam HoustonW14-0-13.82157.5012-0.38
2vsSouthern UtahW41-16411228.01650.89
3@ArkansasW38-313.545714.30261.37
4@KansasL27-389.977610.90160.80
5vsCincinnatiW35-27-6.811414.0014-0.14
7@TCUL11-447.9111.001-0.69
8vsTexas TechW27-146.144110.30270.18
9@TexasL6-3523.22168.0017
10@West VirginiaL7-377.5111.001-0.81
11vsIowa StateL13-457.535217.31260.81
12vsOklahomaL24-3115.02147.01132.48
13@Oklahoma StateL34-406.73237.70100.23

Usage & Situational · Pro

Snap-share proxy
Overall
6.8%
Passing plays
12.7%
Rushing plays
0.0%
Standard downs
6.5%
Passing downs
7.3%
EPA by down type
Standard downs
0.49
Passing downs
0.54
Pass / Rush EPA
0.51 / —

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

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.