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Max Dowling

#11Max Dowling

Max Dowling is a Versatile TE for Massachusetts. Max's 2025 season produced 11.0 total EPA across 34 plays.

What projects, and what doesn't · TEs · 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)0.42
    Beats guessing the TE average by 9%. n=2,225 TE seasons
  • EPA per play (efficiency)0.04
    Not projectable — we do not forecast this. n=2,016 TE seasons
  • Total EPA (value)0.46
    Beats guessing the TE average by 13%. n=2,016 TE seasons

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

2025 Production

Receiving
20 Receptions199 Rec yards3 Rec TD9.9 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume15
  • Explosiveness20
  • Consistency54
  • Pass-Down100
Player type
Versatile TE

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

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency54th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 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 0.82 from the first to second half of the season.
  • Peak game: 2.20 EPA/play in Wk 12 vs Northern Illinois (SP+ -17).

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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 · TE · 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
Johnny LanganRutgers0.3000.017.7
Jordan MyersRice0.2700.215.9
Johnny LanganRutgers0.2400.08.9
Evan SvobodaWyoming0.2900.521.8
Ty ThompsonTulane0.4200.720.2

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

Game Log · box score + EPA, week by week

+2.2002.20Wk 2 vs Bryant: +0.36 EPA/play2Wk 3 vs Iowa: +0.12 EPA/play3Wk 5 vs Missouri: -0.11 EPA/play5Wk 6 vs Western Michigan: -0.20 EPA/play6Wk 7 vs Kent State: +0.41 EPA/play7Wk 8 vs Buffalo: +1.82 EPA/play8Wk 9 vs Central Michigan: -0.40 EPA/play9Wk 11 vs Akron: +0.31 EPA/play11Wk 12 vs Northern Illinois: +2.20 EPA/play12Wk 14 vs Bowling Green: +0.76 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsBryantL26-2733612.00190.36
3@IowaL7-4719.7263.0030.12
5@MissouriL6-4214.42147.0112-0.11
6vsWestern MichiganL3-21-1.4372.304-0.20
7@Kent StateL6-42-19.312020.00200.41
8vsBuffaloL21-28-7.517777.01771.82
9@Central MichiganL13-38-8.8144.004-0.40
11@AkronL10-44-13.9242.0030.31
12vsNorthern IllinoisL3-45-16.7188.0082.20
14vsBowling GreenL14-45-12.64235.81100.76

Usage & Situational · Pro

Snap-share proxy
Overall
5.1%
Passing plays
9.0%
Rushing plays
0.0%
Standard downs
4.4%
Passing downs
6.3%
EPA by down type
Standard downs
0.14
Passing downs
0.54
Pass / Rush EPA
0.33 / —

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.