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Patrick Taylor Jr.
Patrick Taylor Jr.

#6Patrick Taylor Jr.

RB·Memphis·201820172.3 pts line valueDay 3 (Rds 4–7)

Patrick Taylor Jr. is a 2-year Explosive Back for Memphis. Patrick's 2017 season ranks in the 50th percentile nationally by opponent-adjusted EPA per play across 170 plays — a average 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 Taylor Jr.'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
866 Rush yards13 Rush TD157 Carries5.5 Yards/carry
Receiving
19 Receptions148 Rec yards1 Rec TD7.8 Yards/rec

Performance Analysis · 2017 · vs RB peers

  • Efficiency50
  • Volume61
  • Explosiveness50
  • Consistency46
  • Receiving45
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)50th %ile · average
Game-to-game consistency46th %ile · average
Key findings
  • Strong second-half surge — EPA/play improved 0.08 from the first to second half of the season.
  • Peak game: 1.76 EPA/play in Wk 13 vs East Carolina (SP+ -14).

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
Travis EtienneClemson0.4704.7100.1
Saquon BarkleyPenn State0.3403.997.9
Saquon BarkleyPenn State0.4105.298.4
Clyde Edwards-HelaireLSU0.4905.0105.8
James FlandersTulsa0.3904.9103.7

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

Game Log · box score + EPA, week by week

+1.7601.76Wk 1 vs UL Monroe: +0.53 EPA/play1Wk 3 vs UCLA: -0.10 EPA/play3Wk 4 vs Southern Illinois: +0.22 EPA/play4Wk 5 vs UCF: +0.10 EPA/play5Wk 7 vs Navy: +0.30 EPA/play7Wk 8 vs Houston: +0.40 EPA/play8Wk 9 vs Tulane: -0.30 EPA/play9Wk 10 vs Tulsa: +0.33 EPA/play10Wk 12 vs SMU: +0.26 EPA/play12Wk 13 vs East Carolina: +1.76 EPA/play13Wk 14 vs UCF: +0.11 EPA/play14Wk 1 vs Iowa State: -0.21 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsUL MonroeW37-29-12.9151318.711300.53
3vsUCLAW48-454.912393.301471-0.10
4vsSouthern IllinoisW44-3116774.8122700.22
5@UCFL13-4014.19293.2131000.10
7vsNavyW30-27-0.75316.200.30
8@HoustonW42-387.714392.8432100.40
9vsTulaneW56-26-5.714503.60-0.30
10@TulsaW41-14-10.712564.711-400.33
12vsSMUW66-45-2.9181126.221-100.26
13vsEast CarolinaW70-13-14.0612721.221.76
14@UCFL55-6214.1191075.6131100.11
1vsIowa StateL20-217.517684.004340-0.21

Usage & Situational · Pro

Snap-share proxy
Overall
21.2%
Passing plays
5.3%
Rushing plays
40.3%
Standard downs
24.5%
Passing downs
14.0%
EPA by down type
Standard downs
0.21
Passing downs
0.07
Pass / Rush EPA
0.28 / 0.16

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.970−0.512018
EPA per play · 2017 — 2018 · 26 games
SeasonTeamLine valueTotal EPA
2017Memphis
2.3
49.8
2018Memphis
3.0
71.4

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.