Skip to content
Christian Leary

#1Christian Leary

Christian Leary is a Versatile WR for Georgia Tech.

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 Christian Leary'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.

2024 Production

Receiving
3 Receptions27 Rec yards0 Rec TD9.0 Yards/rec
Returns
1 Kick returns20 KR yards0 KR TD

Performance Analysis · 2024 · vs WR peers

  • Efficiency88
  • Volume7
  • Explosiveness13
  • Consistency50
  • Pass-Down50
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)88th %ile · above avg
Key findings
  • Above-average efficiency for the WR position (88th percentile).
  • Limited usage share suggests a rotational or specialist role.
  • Peak game: 0.40 EPA/play in Wk 3 vs VMI.

NIL Market Tier· 2024

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 · 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
Dane KinamonAir Force0.4100.716.0
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
JoJo NatsonUtah State0.3901.019.9
Savion WilliamsTCU0.4501.125.2

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

Game Log · box score + EPA, week by week

+0.4000.40Wk 1 vs Georgia State: -0.25 EPA/play1Wk 3 vs VMI: +0.40 EPA/play3
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
0vsFlorida StateW24-21-3.2
1vsGeorgia StateW35-12-17.9122.002-0.25
3vsVMIW59-722512.50170.40

Usage & Situational · Pro

Snap-share proxy
Overall
2.4%
Passing plays
5.0%
Rushing plays
0.0%
Standard downs
2.2%
Passing downs
3.1%
EPA by down type
Standard downs
Passing downs
0.45
Pass / Rush EPA
0.45 / —

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.