Scores
Dev
← Player leaders
Benjamin Brahmer

#18Benjamin Brahmer

Benjamin Brahmer is a Slot Specialist TE for Iowa State. Benjamin's 2025 season produced 18.7 total EPA across 40 plays.

2026 Usage Outlook · projected share of team plays

4%
projected
band 2%'25 6%7%

Regressed toward the TE mean. Model correlation r≈0.42 on a 2019-2025 walk-forward — volume only; efficiency not projected.

2025 Production

Receiving
37 Receptions446 Rec yards6 Rec TD12.1 Yards/rec

Performance Analysis · 2025 · vs TE peers

EfficiencyVolumeExplosivenessConsistencyPass-Down
Player type
Slot Specialist TE

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency58th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.34 EPA/play decline from first to second half.
  • Peak game: 1.89 EPA/play in Wk 5 vs Arizona (SP+ 12).

NIL Market Tier· 2025

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand 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 2014–2024 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamYrPlaysWEPA/playLine valTotal EPA
Ty ThompsonTulane2024480.4200.420.2
Seth GreenMinnesota2018830.3900.032.4
Johnny LanganRutgers2020590.3000.017.7
Evan SvobodaWyoming2024750.2900.021.8
Jordan MyersRice2021590.2700.215.9

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

Game Log · box score + EPA, week by week

Wk 1 vs South Dakota: +0.93 EPA/play1Wk 1 vs Kansas State: +0.93 EPA/play1Wk 2 vs Iowa: +0.51 EPA/play2Wk 3 vs Arkansas State: +0.13 EPA/play3Wk 5 vs Arizona: +1.89 EPA/play5Wk 6 vs Cincinnati: -0.62 EPA/play6Wk 7 vs Colorado: +0.41 EPA/play7Wk 10 vs Arizona State: +0.93 EPA/play10Wk 13 vs Kansas: -0.11 EPA/play13Wk 14 vs Oklahoma State: -0.10 EPA/play14
EPA per play, by weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsSouth DakotaW55-77476.72150.93
1vsKansas StateW24-217.024120.50210.93
2vsIowaW16-1319.74184.5160.51
3@Arkansas StateW24-16-8.8133.0030.13
5vsArizonaW39-1412.022914.50271.89
6@CincinnatiL30-384.534816.0022-0.62
7@ColoradoL17-24-8.355611.20260.41
9vsBYUL27-4115.957515.0024
10vsArizona StateL19-243.934816.01240.93
11@TCUW20-178.312323.0123
13vsKansasW38-144.133411.3117-0.11
14@Oklahoma StateW20-13-15.112424.0024-0.10

Usage & Situational · Pro

Snap-share proxy
Overall
5.8%
Passing plays
13.0%
Rushing plays
0.3%
Standard downs
4.8%
Passing downs
8.3%
EPA by down type
Standard downs
0.47
Passing downs
0.47
Pass / Rush EPA
0.52 / -1.50

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.