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Carlos Hernandez
Carlos Hernandez

#8Carlos Hernandez

Carlos Hernandez is a Slot Specialist WR for Wake Forest. Carlos's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 68 plays — a elite 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 Carlos Hernandez'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.

2025 Production

Receiving
40 Receptions611 Rec yards3 Rec TD15.3 Yards/rec
Returns
1 Kick returns19 KR yards0 KR TD23 Punt returns253 PR yards1 PR TD

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

9
Targets
10.4y
Avg depth
26.6y
After catch
56%
Catch rate

The ball travels 10.4 yards in the air on an average target 1.4 yards deeper than the median. Another 26.6 comes after the catch.

Where he is targeted

targets · completion rate · yards
deep
0
0
1
0% · 0y
short
4
50% · 96y
2
100% · 52y
2
50% · 17y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume24
  • Explosiveness55
  • Consistency15
  • Pass-Down46
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency15th %ile · below avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.62 from the first to second half of the season.
  • Peak game: 2.45 EPA/play in Wk 13 vs Delaware (SP+ -11).

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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 · 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
Noah ShortArmy0.3000.520.7
Ainias SmithTexas A&M0.3100.517.0
Xavier WhiteTexas Tech0.3000.518.6
Eli HeidenreichNavy0.3400.722.4
Chris TyreeNotre Dame0.3100.623.6

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

Game Log · box score + EPA, week by week

+2.4502.45Wk 1 vs Kennesaw State: -0.55 EPA/play1Wk 2 vs Western Carolina: -0.70 EPA/play2Wk 3 vs NC State: +0.25 EPA/play3Wk 5 vs Georgia Tech: +1.21 EPA/play5Wk 6 vs Virginia Tech: +0.30 EPA/play6Wk 7 vs Oregon State: -0.00 EPA/play7Wk 9 vs SMU: -0.31 EPA/play9Wk 10 vs Florida State: -0.08 EPA/play10Wk 11 vs Virginia: -0.59 EPA/play11Wk 12 vs North Carolina: +0.99 EPA/play12Wk 13 vs Delaware: +2.45 EPA/play13Wk 14 vs Duke: +0.74 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsKennesaw StateW10-9-5.43206.7011-0.55
2vsWestern CarolinaW42-10111.001-0.70
3vsNC StateL24-344.83237.70100.25
5vsGeorgia TechL29-309.311515.00151.21
6@Virginia TechW30-23-10.155110.20190.30
7@Oregon StateW39-14-15.922311.5021-0.00
9vsSMUW13-1213.4-0.31
10@Florida StateL7-427.211111.0011-0.08
11@VirginiaW16-911.1144.004-0.59
12vsNorth CarolinaW28-12-6.6610016.71700.99
13vsDelawareW52-14-10.9519739.42932.45
14@DukeL32-496.669315.50320.74
20vsMississippi StateW43-294.167312.2022

Usage & Situational · Pro

Snap-share proxy
Overall
8.3%
Passing plays
16.7%
Rushing plays
0.5%
Standard downs
6.6%
Passing downs
11.5%
EPA by down type
Standard downs
0.35
Passing downs
0.32
Pass / Rush EPA
0.26 / 2.72

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.