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Jafar Armstrong

#9Jafar Armstrong

WR·Notre Dame·20181.0 pts line value1st Round

Jafar Armstrong is a Versatile WR for Notre Dame. Jafar's 2018 season ranks in the 33th percentile nationally by opponent-adjusted EPA per play across 85 plays — a developing rate for the WR.

What projects, and what doesn't · WRs · 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)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Jafar Armstrong'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.

2018 Production

Rushing
383 Rush yards7 Rush TD72 Carries5.3 Yards/carry
Receiving
14 Receptions159 Rec yards0 Rec TD11.4 Yards/rec
Returns
1 Kick returns20 KR yards0 KR TD

Performance Analysis · 2018 · vs WR peers

  • Efficiency33
  • Volume34
  • Explosiveness29
  • Consistency57
  • Pass-Down76
Player type
Versatile WR

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)33th %ile · below avg
Game-to-game consistency57th %ile · average
Key findings
  • Below-average efficiency vs WR peers — value comes through volume, not per-play impact.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.24 EPA/play decline from first to second half.
  • Peak game: 1.13 EPA/play in Wk 4 vs Wake Forest (SP+ 4).

Historical Comparables · WR · 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
Chris TyreeNotre Dame0.3100.623.6
Eli HeidenreichNavy0.3400.722.4
Shane TuckerMiddle Tennessee0.3201.631.0
Noah ShortArmy0.3000.520.7
Luke McCaffreyNebraska0.3000.718.6

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

Game Log · box score + EPA, week by week

+1.1301.13Wk 1 vs Michigan: -0.07 EPA/play1Wk 2 vs Ball State: +0.22 EPA/play2Wk 3 vs Vanderbilt: +0.18 EPA/play3Wk 4 vs Wake Forest: +1.13 EPA/play4Wk 9 vs Navy: +0.58 EPA/play9Wk 10 vs Northwestern: -0.04 EPA/play10Wk 11 vs Florida State: +0.42 EPA/play11Wk 12 vs Syracuse: +0.72 EPA/play12Wk 13 vs USC: -0.38 EPA/play13Wk 1 vs Clemson: +0.10 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsMichiganW24-1722.02115.509-0.07
2vsBall StateW24-16-18.936120.30270.22
3vsVanderbiltW22-177.60.18
4@Wake ForestW56-273.62157.5081.13
9vsNavyW44-22-10.256412.80270.58
10@NorthwesternW31-211.9-0.04
11vsFlorida StateW42-131.40.42
12vsSyracuseW36-37.50.72
13@USCW24-179.7-0.38
1vsClemsonL3-3029.7284.0040.10

Usage & Situational · Pro

Snap-share proxy
Overall
11.9%
Passing plays
4.8%
Rushing plays
18.3%
Standard downs
13.9%
Passing downs
7.9%
EPA by down type
Standard downs
0.28
Passing downs
0.43
Pass / Rush EPA
0.63 / 0.24

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.270−0.53
EPA per play · 2018 · 10 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.