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Jonathan Ward

#5Jonathan Ward

RB·Central Michigan·20192.2 pts line valueDay 3 (Rds 4–7)

Jonathan Ward is a Pass-Catching Back for Central Michigan. Jonathan's 2019 season ranks in the 63th percentile nationally by opponent-adjusted EPA per play across 196 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 Jonathan Ward'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.

2019 Production

Rushing
1108 Rush yards15 Rush TD183 Carries6.1 Yards/carry
Receiving
34 Receptions329 Rec yards1 Rec TD9.7 Yards/rec

Performance Analysis · 2019 · vs RB peers

  • Efficiency63
  • Volume73
  • Explosiveness62
  • Consistency43
  • Receiving71
Player type
Pass-Catching Back

Third-down weapon out of the backfield. Routes, hands, and separation in coverage define this role as much as rushing.

3rd-down backReceiving threatPass protection
Peer percentiles
Opponent-adjusted EPA (WEPA/play)63th %ile · average
Game-to-game consistency43th %ile · below avg
Key findings
  • Production faded as the season progressed — 0.15 EPA/play decline from first to second half.
  • Peak game: 0.83 EPA/play in Wk 6 vs Eastern Michigan (SP+ -9).

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
Travis EtienneClemson0.4704.7100.1
Dalvin CookFlorida State0.3404.399.3
James FlandersTulsa0.3904.9103.7
Saquon BarkleyPenn State0.4105.298.4

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

Game Log · box score + EPA, week by week

+0.8300.83Wk 1 vs UAlbany: +0.35 EPA/play1Wk 2 vs Wisconsin: -0.22 EPA/play2Wk 5 vs Western Michigan: +0.21 EPA/play5Wk 6 vs Eastern Michigan: +0.83 EPA/play6Wk 7 vs New Mexico State: -0.09 EPA/play7Wk 8 vs Bowling Green: +0.36 EPA/play8Wk 9 vs Buffalo: -0.02 EPA/play9Wk 12 vs Ball State: +0.38 EPA/play12Wk 14 vs Toledo: +0.50 EPA/play14Wk 15 vs Miami (OH): -0.18 EPA/play15Wk 1 vs San Diego State: -0.21 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsUAlbanyW38-21221587.2235300.35
2@WisconsinL0-6120.3133.00190-0.22
5@Western MichiganL15-31-4.9191075.6022100.21
6vsEastern MichiganW42-16-8.61213211.0237310.83
7vsNew Mexico StateW42-28-22.0181317.314360-0.09
8@Bowling GreenW38-20-27.5211306.2331200.36
9@BuffaloL20-43-2.014644.615390-0.02
10vsNorthern IllinoisW48-10-13.9201386.913110
12@Ball StateW45-44-4.5241054.4443000.38
14vsToledoW49-7-13.713886.810.50
15vsMiami (OH)L21-26-9.210262.605380-0.18
1vsSan Diego StateL11-482.09262.90170-0.21

Usage & Situational · Pro

Snap-share proxy
Overall
25.7%
Passing plays
10.1%
Rushing plays
41.1%
Standard downs
31.2%
Passing downs
12.1%
EPA by down type
Standard downs
0.24
Passing downs
0.01
Pass / Rush EPA
0.14 / 0.23

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.930−0.33
EPA per play · 2019 · 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.