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Jax Markovich

#86Jax Markovich

Jax Markovich is a Versatile TE for Massachusetts.

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 Jax Markovich'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
7 Receptions38 Rec yards0 Rec TD5.4 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency0
  • Volume10
  • Explosiveness0
  • Consistency0
  • 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)0th %ile · below avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs TE peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 1.03 EPA/play in Wk 11 vs Akron (SP+ -14).

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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 · 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
A.J. DoyleMassachusetts0.0400.02.1

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

Game Log · box score + EPA, week by week

+1.1401.14Wk 9 vs Central Michigan: -0.67 EPA/play9Wk 11 vs Akron: +1.03 EPA/play11Wk 12 vs Northern Illinois: -1.14 EPA/play12Wk 13 vs Ohio: +0.34 EPA/play13Wk 14 vs Bowling Green: -0.32 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
9@Central MichiganL13-38-8.81-1-1.000-0.67
11@AkronL10-44-13.911313.00131.03
12vsNorthern IllinoisL3-45-16.7144.004-1.14
13@OhioL14-42-4.03206.70160.34
14vsBowling GreenL14-45-12.6122.002-0.32

Usage & Situational · Pro

Snap-share proxy
Overall
3.5%
Passing plays
5.6%
Rushing plays
0.0%
Standard downs
3.7%
Passing downs
3.0%
EPA by down type
Standard downs
-0.76
Passing downs
0.52
Pass / Rush EPA
-0.43 / —

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.