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Demario Richard

#4Demario Richard

RB·Arizona State·20172.3 pts line valueDay 3 (Rds 4–7)

Demario Richard is a Explosive Back for Arizona State. Demario's 2017 season ranks in the 25th percentile nationally by opponent-adjusted EPA per play across 207 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 Demario Richard'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.

2017 Production

Rushing
1027 Rush yards12 Rush TD198 Carries5.2 Yards/carry
Receiving
8 Receptions67 Rec yards0 Rec TD8.4 Yards/rec
Returns
1 Kick returns11 KR yards0 KR TD

Performance Analysis · 2017 · vs RB peers

  • Efficiency25
  • Volume65
  • Explosiveness44
  • Consistency0
  • Receiving27
Player type
Explosive Back

Elite per-carry efficiency — breaks big runs and creates chunk plays at a top rate while in a limited role.

Big-play threatHigh EPA per carryCapitalises on opportunities
Peer percentiles
Opponent-adjusted EPA (WEPA/play)25th %ile · below avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High game-to-game variance — boom-or-bust profile.
  • Strong second-half surge — EPA/play improved 0.65 from the first to second half of the season.
  • Peak game: 0.65 EPA/play in Wk 12 vs Oregon State (SP+ -13).

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
Dalvin CookFlorida State0.3404.399.3
Breece HallIowa State0.3404.5102.3
James FlandersTulsa0.3904.9103.7
Hassan HaskinsMichigan0.3804.8106.4

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

Game Log · box score + EPA, week by week

+2.0002.00Wk 1 vs New Mexico State: -2.00 EPA/play1Wk 3 vs Texas Tech: -0.21 EPA/play3Wk 4 vs Oregon: -0.10 EPA/play4Wk 5 vs Stanford: +0.34 EPA/play5Wk 7 vs Washington: -0.21 EPA/play7Wk 8 vs Utah: +0.14 EPA/play8Wk 9 vs USC: +0.19 EPA/play9Wk 10 vs Colorado: +0.33 EPA/play10Wk 11 vs UCLA: +0.33 EPA/play11Wk 12 vs Oregon State: +0.65 EPA/play12Wk 13 vs Arizona: +0.42 EPA/play13Wk 1 vs NC State: -0.06 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsNew Mexico StateW37-31-9.41-4-4.00-2.00
3@Texas TechL45-524.815533.51-0.21
4vsOregonW37-359.121643.011-10-0.10
5@StanfordL24-3415.822803.6235700.34
7vsWashingtonW13-722.18232.90240-0.21
8@UtahW30-1012.018935.210.14
9vsUSCL17-4817.915704.701500.19
10vsColoradoW41-302.0251897.610.33
11@UCLAL37-444.9211256.010.33
12@Oregon StateW40-24-12.6171197.030.65
13vsArizonaW42-303.7221657.520.42
1vsNC StateL31-5212.913503.80120-0.06

Usage & Situational · Pro

Snap-share proxy
Overall
22.7%
Passing plays
3.4%
Rushing plays
39.6%
Standard downs
28.5%
Passing downs
9.8%
EPA by down type
Standard downs
0.19
Passing downs
0.13
Pass / Rush EPA
-0.03 / 0.20

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.910−2.26
EPA per play · 2017 · 12 games

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.