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Rod Gibbs

#9Rod Gibbs

Rod Gibbs is a Slot Specialist TE for South Alabama.

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 Rod Gibbs'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
6 Receptions52 Rec yards1 Rec TD8.7 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume6
  • Explosiveness11
  • Consistency85
  • Pass-Down73
Player type
Slot Specialist TE

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 consistency85th %ile · above 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 consistency — reliable floor each week.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 2.36 EPA/play in Wk 13 vs Southern Miss (SP+ -7).

NIL Market Tier· 2025

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

+2.3602.36Wk 4 vs Coastal Carolina: +0.95 EPA/play4Wk 5 vs North Texas: +0.75 EPA/play5Wk 8 vs Arkansas State: +1.03 EPA/play8Wk 13 vs Southern Miss: +2.36 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
4vsCoastal CarolinaL20-38-15.111414.00140.95
5@North TexasL22-3613.82105.0190.75
8vsArkansas StateL14-15-8.82136.5071.03
13vsSouthern MissW42-35-7.111515.00152.36

Usage & Situational · Pro

Snap-share proxy
Overall
2.2%
Passing plays
5.5%
Rushing plays
0.0%
Standard downs
1.1%
Passing downs
4.7%
EPA by down type
Standard downs
0.48
Passing downs
0.62
Pass / Rush EPA
0.57 / —

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.