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Kenneth Farrow

#35Kenneth Farrow

RB·Houston·201520142.7 pts line valueDay 3 (Rds 4–7)

Kenneth Farrow is a 2-year Explosive Back for Houston. Kenneth's 2014 season ranks in the 28th percentile nationally by opponent-adjusted EPA per play across 198 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 Kenneth Farrow'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.

2014 Production

Rushing
1037 Rush yards14 Rush TD186 Carries5.6 Yards/carry
Receiving
20 Receptions149 Rec yards1 Rec TD7.5 Yards/rec

Performance Analysis · 2014 · vs RB peers

  • Efficiency28
  • Volume63
  • Explosiveness52
  • Consistency74
  • Receiving42
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)28th %ile · below avg
Game-to-game consistency74th %ile · average
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High game-to-game consistency — reliable floor each week.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Peak game: 0.67 EPA/play in Wk 2 vs Grambling.

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
Travis EtienneClemson0.4704.7100.1
Dalvin CookFlorida State0.3404.399.3
James FlandersTulsa0.3904.9103.7
Saquon BarkleyPenn State0.4105.298.4

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

Game Log · box score + EPA, week by week

+0.6700.67Wk 1 vs UTSA: +0.04 EPA/play1Wk 2 vs Grambling: +0.67 EPA/play2Wk 3 vs BYU: +0.03 EPA/play3Wk 4 vs UNLV: +0.52 EPA/play4Wk 6 vs UCF: +0.01 EPA/play6Wk 7 vs Memphis: +0.32 EPA/play7Wk 8 vs Temple: -0.02 EPA/play8Wk 10 vs South Florida: +0.43 EPA/play10Wk 11 vs Tulane: -0.02 EPA/play11Wk 13 vs Tulsa: +0.49 EPA/play13Wk 14 vs SMU: +0.20 EPA/play14Wk 15 vs Cincinnati: +0.33 EPA/play15Wk 1 vs Pittsburgh: +0.38 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsUTSAL7-27-3.47213.0011700.04
2vsGramblingW47-01313010.011600.67
3@BYUL25-3310.2372.3052500.03
4vsUNLVW47-14-17.6141138.110.52
6vsUCFL12-175.711504.500.01
7@MemphisW28-245.610646.412200.32
8vsTempleW31-10-4.718522.915250-0.02
10@South FloridaW27-3-11.8221125.112710.43
11vsTulaneL24-31-15.08212.601200-0.02
13vsTulsaW38-28-15.8211165.540.49
14@SMUW35-9-21.2181106.121500.20
15@CincinnatiL31-386.9191387.310.33
1vsPittsburghW35-3414.1221034.7224200.38

Usage & Situational · Pro

Snap-share proxy
Overall
22.0%
Passing plays
5.1%
Rushing plays
40.0%
Standard downs
27.3%
Passing downs
11.2%
EPA by down type
Standard downs
0.29
Passing downs
0.37
Pass / Rush EPA
0.34 / 0.30

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.240−0.282015
EPA per play · 2014 — 2015 · 25 games
SeasonTeamLine valueTotal EPA
2014Houston
2.7
57.7
2015Houston
2.1
51.5

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.