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James Flanders

#20James Flanders

RB·Tulsa·20164.9 pts line value1st Round

James Flanders is a Explosive Back for Tulsa. James's 2016 season ranks in the 68th percentile nationally by opponent-adjusted EPA per play across 244 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 James Flanders'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
1629 Rush yards18 Rush TD258 Carries6.3 Yards/carry
Receiving
3 Receptions17 Rec yards0 Rec TD5.7 Yards/rec

Performance Analysis · 2016 · vs RB peers

  • Efficiency68
  • Volume66
  • Explosiveness66
  • Consistency66
  • Receiving7
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)68th %ile · average
Game-to-game consistency66th %ile · average
Key findings
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Peak game: 0.78 EPA/play in Wk 6 vs SMU (SP+ -11).

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 State0.4105.298.4
Nick WilsonArizona0.4105.2102.5
Ameer AbdullahNebraska0.3805.399.6
LeVante BellamyWestern Michigan0.4005.4107.6
Royce FreemanOregon0.3605.199.0

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

Game Log · box score + EPA, week by week

+0.7800.78Wk 1 vs San José State: +0.24 EPA/play1Wk 2 vs Ohio State: -0.43 EPA/play2Wk 3 vs North Carolina A&T: +0.26 EPA/play3Wk 4 vs Fresno State: +0.77 EPA/play4Wk 6 vs SMU: +0.78 EPA/play6Wk 7 vs Houston: +0.04 EPA/play7Wk 8 vs Tulane: +0.48 EPA/play8Wk 9 vs Memphis: +0.40 EPA/play9Wk 10 vs East Carolina: +0.36 EPA/play10Wk 11 vs Navy: +0.08 EPA/play11Wk 12 vs UCF: +0.25 EPA/play12Wk 13 vs Cincinnati: -0.03 EPA/play13Wk 1 vs Central Michigan: +0.45 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsSan José StateW45-10-13.614825.900.24
2@Ohio StateL3-4822.415432.90-0.43
3vsNorth Carolina A&TW58-217324.620.26
4@Fresno StateW48-41-16.9131017.810.77
6vsSMUW43-40-10.81313210.210.78
7@HoustonL31-3810.119703.7121400.04
8vsTulaneW50-27-14.6221908.620.48
9@MemphisW59-307.7332497.550.40
10vsEast CarolinaW45-24-9.0281816.520.36
11@NavyL40-426.819894.700.08
12@UCFW35-20-2.2191638.611300.25
13vsCincinnatiW40-37-3.6391975.12-0.03
1vsCentral MichiganW55-10-6.1171005.910.45

Usage & Situational · Pro

Snap-share proxy
Overall
23.1%
Passing plays
0.9%
Rushing plays
39.8%
Standard downs
27.9%
Passing downs
11.6%
EPA by down type
Standard downs
0.28
Passing downs
0.27
Pass / Rush EPA
0.20 / 0.28

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.900−0.56
EPA per play · 2016 · 13 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.