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Patrick Smith

#4Patrick Smith

Patrick Smith is a Committee Back for Vanderbilt. Patrick's 2023 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 80 plays — a developing rate for the RB.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

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

Rushing
327 Rush yards2 Rush TD79 Carries4.1 Yards/carry
Receiving
4 Receptions15 Rec yards0 Rec TD3.8 Yards/rec

Performance Analysis · 2023 · vs RB peers

  • Efficiency0
  • Volume36
  • Explosiveness22
  • Consistency40
  • Receiving23
Player type
Committee Back

Part of a rotation — contributes in a complementary role and keeps the featured back fresh.

Rotational roleSituational use
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency40th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • Strong second-half surge — EPA/play improved 0.14 from the first to second half of the season.
  • Peak game: 0.61 EPA/play in Wk 9 vs Ole Miss (SP+ 18).

NIL Market Tier· 2023

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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.

Game Log · box score + EPA, week by week

+0.6100.61Wk 1 vs Alabama A&M: +0.17 EPA/play1Wk 2 vs Wake Forest: +0.24 EPA/play2Wk 3 vs UNLV: +0.02 EPA/play3Wk 4 vs Kentucky: +0.12 EPA/play4Wk 5 vs Missouri: -0.30 EPA/play5Wk 6 vs Florida: +0.58 EPA/play6Wk 7 vs Georgia: -0.42 EPA/play7Wk 9 vs Ole Miss: +0.61 EPA/play9Wk 11 vs South Carolina: +0.20 EPA/play11Wk 13 vs Tennessee: +0.40 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
0vsHawai'iW35-28-16.47304.31
1vsAlabama A&MW47-1310505.000.17
2@Wake ForestL20-36-7.910777.700.24
3@UNLVL37-401.413433.301-200.02
4vsKentuckyL28-4510.512363.011100.12
5vsMissouriL21-3819.3520.40110-0.30
6@FloridaL14-386.8284.0011500.58
7vsGeorgiaL20-3731.24112.80-0.42
9@Ole MissL7-3318.43206.700.61
11@South CarolinaL6-474.34235.800.20
13@TennesseeL24-4816.29273.000.40

Usage & Situational · Pro

Snap-share proxy
Overall
12.6%
Passing plays
1.6%
Rushing plays
26.4%
Standard downs
13.0%
Passing downs
11.8%
EPA by down type
Standard downs
0.12
Passing downs
0.07
Pass / Rush EPA
-0.09 / 0.12

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.