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Ito Smith

#25Ito Smith

RB·Southern Miss·201720161.9 pts line valueDay 3 (Rds 4–7)

Ito Smith is a 2-year Pass-Catching Back for Southern Miss. Ito's 2016 season ranks in the 5th percentile nationally by opponent-adjusted EPA per play across 308 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 Ito 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.

2016 Production

Rushing
1459 Rush yards17 Rush TD265 Carries5.5 Yards/carry
Receiving
43 Receptions459 Rec yards2 Rec TD10.7 Yards/rec

Performance Analysis · 2016 · vs RB peers

  • Efficiency5
  • Volume91
  • Explosiveness50
  • Consistency66
  • Receiving71
Player type
Pass-Catching Back

Third-down weapon out of the backfield. Routes, hands, and separation in coverage define this role as much as rushing.

3rd-down backReceiving threatPass protection
Peer percentiles
Opponent-adjusted EPA (WEPA/play)5th %ile · below avg
Game-to-game consistency66th %ile · average
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High-volume role — one of the team's most-used RBs by play share.
  • Peak game: 0.80 EPA/play in Wk 2 vs Savannah State.

Historical Comparables · RB · 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
Saquon BarkleyPenn State0.3403.997.9
Donnel PumphreySan Diego State0.3204.2110.1
Dalvin CookFlorida State0.3404.399.3
Breece HallIowa State0.3404.5102.3
Eno BenjaminArizona State0.3304.6104.3

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

Game Log · box score + EPA, week by week

+0.8000.80Wk 1 vs Kentucky: +0.24 EPA/play1Wk 2 vs Savannah State: +0.80 EPA/play2Wk 3 vs Troy: +0.08 EPA/play3Wk 4 vs UTEP: +0.32 EPA/play4Wk 5 vs Rice: -0.21 EPA/play5Wk 6 vs UTSA: +0.13 EPA/play6Wk 7 vs LSU: +0.15 EPA/play7Wk 9 vs Marshall: +0.14 EPA/play9Wk 10 vs Charlotte: -0.01 EPA/play10Wk 11 vs Old Dominion: +0.28 EPA/play11Wk 12 vs North Texas: +0.24 EPA/play12Wk 13 vs Louisiana Tech: +0.16 EPA/play13Wk 1 vs Louisiana: +0.19 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@KentuckyW44-35-2.6361734.8154000.24
2vsSavannah StateW56-0812816.010.80
3vsTroyL31-371.1201316.6231700.08
4@UTEPW34-7-16.1161086.8043310.32
5vsRiceW44-28-16.519774.114640-0.21
6@UTSAL32-55-11.220944.7132200.13
7@LSUL10-4525.316644.0164600.15
9vsMarshallW24-14-12.7261405.4244300.14
10vsCharlotteL27-38-20.915694.615470-0.01
11@Old DominionL35-51-0.720974.8311100.28
12@North TexasL23-29-14.6191135.9236700.24
13vsLouisiana TechW39-243.1241275.3046300.16
1vsLouisianaW28-21-8.7261385.321610.19

Usage & Situational · Pro

Snap-share proxy
Overall
31.7%
Passing plays
12.4%
Rushing plays
51.3%
Standard downs
36.0%
Passing downs
23.4%
EPA by down type
Standard downs
0.12
Passing downs
0.21
Pass / Rush EPA
0.23 / 0.12

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.900−0.312017
EPA per play · 2016 — 2017 · 26 games
SeasonTeamLine valueTotal EPA
2016Southern Miss
1.9
65.5
2017Southern Miss
2.4
62.9

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.