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Jalin Moore

#25Jalin Moore

RB·App State·20172.1 pts line valueDay 3 (Rds 4–7)

Jalin Moore is a Featured Back for App State. Jalin's 2017 season ranks in the 38th percentile nationally by opponent-adjusted EPA per play across 196 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 Jalin Moore'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
1037 Rush yards12 Rush TD183 Carries5.7 Yards/carry
Receiving
12 Receptions163 Rec yards1 Rec TD13.6 Yards/rec

Performance Analysis · 2017 · vs RB peers

  • Efficiency38
  • Volume75
  • Explosiveness54
  • Consistency39
  • Receiving35
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)38th %ile · below avg
Game-to-game consistency39th %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.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.32 from the first to second half of the season.
  • Peak game: 0.74 EPA/play in Wk 10 vs UL Monroe (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
Travis EtienneClemson0.4704.7100.1
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

+0.7400.74Wk 1 vs Georgia: -0.04 EPA/play1Wk 2 vs Savannah State: +0.62 EPA/play2Wk 3 vs Texas State: -0.41 EPA/play3Wk 4 vs Wake Forest: -0.53 EPA/play4Wk 6 vs New Mexico State: +0.68 EPA/play6Wk 7 vs Idaho: -0.04 EPA/play7Wk 8 vs Coastal Carolina: +0.13 EPA/play8Wk 10 vs UL Monroe: +0.74 EPA/play10Wk 13 vs Georgia State: +0.31 EPA/play13Wk 14 vs Louisiana: +0.49 EPA/play14Wk 1 vs Toledo: +0.26 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@GeorgiaL10-3126.713382.904340-0.04
2vsSavannah StateW54-79576.3112000.62
3@Texas StateW20-13-23.59141.60190-0.41
4vsWake ForestL19-2010.516271.70-0.53
6vsNew Mexico StateW45-31-9.41924112.720.68
7@IdahoW23-20-12.417492.901-20-0.04
8vsCoastal CarolinaW37-298232.911900.13
10@UL MonroeL45-52-12.9211145.4228410.74
13@Georgia StateW31-10-14.0322397.512900.31
14vsLouisianaW63-14-15.8171106.520.49
1vsToledoW34-06.6221255.730.26

Usage & Situational · Pro

Snap-share proxy
Overall
26.3%
Passing plays
5.0%
Rushing plays
42.9%
Standard downs
29.8%
Passing downs
18.5%
EPA by down type
Standard downs
0.16
Passing downs
0.55
Pass / Rush EPA
0.64 / 0.21

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.860−0.65
EPA per play · 2017 · 11 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.