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Mark Pope

#7Mark Pope

Mark Pope is a Versatile WR for Massachusetts. Mark's 2023 season produced 5.4 total EPA across 43 plays.

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 Mark Pope'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.

2023 Production

Receiving
33 Receptions420 Rec yards1 Rec TD12.7 Yards/rec

Performance Analysis · 2023 · vs WR peers

  • Efficiency40
  • Volume21
  • Explosiveness38
  • Consistency45
  • Pass-Down75
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)40th %ile · below avg
Game-to-game consistency45th %ile · average
Key findings
  • Limited usage share suggests a rotational or specialist role.
  • 5 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 0.43 from the first to second half of the season.
  • Peak game: 1.56 EPA/play in Wk 9 vs Army (SP+ -4).

NIL Market Tier· 2023

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group deals.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

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
Amare JonesTulane0.1800.012.8
Brandon ChatmanNavy0.2300.612.0
Justin LynchTemple0.2400.315.1
Eli HeidenreichNavy0.2200.815.4
Amare JonesTulane0.2300.813.3

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

Game Log · box score + EPA, week by week

+1.5601.56Wk 1 vs Auburn: -0.73 EPA/play1Wk 2 vs Miami (OH): +0.10 EPA/play2Wk 3 vs Eastern Michigan: -0.28 EPA/play3Wk 4 vs New Mexico: +0.91 EPA/play4Wk 5 vs Arkansas State: +0.96 EPA/play5Wk 6 vs Toledo: -0.50 EPA/play6Wk 7 vs Penn State: +1.44 EPA/play7Wk 9 vs Army: +1.56 EPA/play9Wk 10 vs Merrimack: -0.28 EPA/play10Wk 12 vs Liberty: +1.19 EPA/play12Wk 13 vs UConn: +0.31 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
0@New Mexico StateW41-30-1.8133.003
1@AuburnL14-597.611313.0013-0.73
2vsMiami (OH)L28-412.847017.51500.10
3@Eastern MichiganL17-19-12.3-0.28
4vsNew MexicoL31-34-16.548120.30540.91
5vsArkansas StateL28-52-6.368514.20280.96
6vsToledoL24-413.74205.0015-0.50
7@Penn StateL0-6323.5294.5091.44
9@ArmyW21-14-4.011010.00101.56
10vsMerrimackW31-2111010.0010-0.28
12@LibertyL25-498.069015.00431.19
13vsUConnL18-31-15.63299.70150.31

Usage & Situational · Pro

Snap-share proxy
Overall
7.2%
Passing plays
13.4%
Rushing plays
1.4%
Standard downs
7.6%
Passing downs
6.4%
EPA by down type
Standard downs
0.08
Passing downs
0.23
Pass / Rush EPA
0.16 / -0.10

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

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.