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Jeremy Langford

#33Jeremy Langford

RB·Michigan State·20146.4 pts line value1st Round

Jeremy Langford is a Featured Back for Michigan State. Jeremy's 2014 season ranks in the 73th percentile nationally by opponent-adjusted EPA per play across 283 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 Jeremy Langford'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
1522 Rush yards22 Rush TD276 Carries5.5 Yards/carry
Receiving
11 Receptions62 Rec yards0 Rec TD5.6 Yards/rec

Performance Analysis · 2014 · vs RB peers

  • Efficiency73
  • Volume84
  • Explosiveness50
  • Consistency68
  • Receiving29
Player type
Featured Back

The centerpiece of the run game — high carry volume, used in early downs and goal-line, true workhorse role.

Primary ball carrierHigh volumeGoal-line threat
Peer percentiles
Opponent-adjusted EPA (WEPA/play)73th %ile · average
Game-to-game consistency68th %ile · average
Key findings
  • High-volume role — one of the team's most-used RBs by play share.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.19 from the first to second half of the season.
  • Peak game: 0.56 EPA/play in Wk 13 vs Rutgers (SP+ -2).

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
Bijan RobinsonTexas0.3905.9107.6
Samaje PerineOklahoma0.4306.8121.3
Tyler AllgeierBYU0.4406.3119.2
Cameron SkatteboArizona State0.4106.2126.7
Najee HarrisAlabama0.4405.9121.0

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

Game Log · box score + EPA, week by week

+0.5600.56Wk 1 vs Jacksonville State: +0.06 EPA/play1Wk 2 vs Oregon: -0.27 EPA/play2Wk 4 vs Eastern Michigan: +0.48 EPA/play4Wk 5 vs Wyoming: +0.43 EPA/play5Wk 6 vs Nebraska: -0.18 EPA/play6Wk 7 vs Purdue: +0.37 EPA/play7Wk 8 vs Indiana: +0.17 EPA/play8Wk 9 vs Michigan: +0.27 EPA/play9Wk 11 vs Ohio State: +0.55 EPA/play11Wk 12 vs Maryland: +0.17 EPA/play12Wk 13 vs Rutgers: +0.56 EPA/play13Wk 14 vs Penn State: +0.08 EPA/play14Wk 1 vs Baylor: +0.40 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsJacksonville StateW45-713574.400.06
2@OregonL27-4624.724863.611-10-0.27
4vsEastern MichiganW73-14-25.99606.710.48
5vsWyomingW56-14-14.0161378.6121200.43
6vsNebraskaW27-2213.1291113.81100-0.18
7@PurdueW45-31-6.2131048.001800.37
8@IndianaW56-171.8211095.230.17
9vsMichiganW35-118.2351775.1311800.27
11vsOhio StateL37-4925.8181377.6311500.55
12@MarylandW37-155.7251385.521300.17
13vsRutgersW45-3-1.5161267.920.56
14@Penn StateW34-109.2301183.921000.08
1vsBaylorW42-4123.9271626.032700.40

Usage & Situational · Pro

Snap-share proxy
Overall
29.3%
Passing plays
4.6%
Rushing plays
47.3%
Standard downs
37.4%
Passing downs
9.5%
EPA by down type
Standard downs
0.20
Passing downs
0.15
Pass / Rush EPA
-0.15 / 0.22

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.640−0.36
EPA per play · 2014 · 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.
Jeremy Langford Stats, EPA & Player Profile — Michigan State · Gridpex