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Rocco Becht

#3Rocco Becht

Rocco Becht is a 2-year Efficient Passer for Penn State. Rocco's 2026 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 50 plays — a elite rate for the QB.

What projects, and what doesn't · QBs · 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)0.46
    Beats guessing the QB average by 16%. n=2,421 QB seasons
  • EPA per play (efficiency)0.05
    Not projectable — we do not forecast this. n=1,965 QB seasons
  • Total EPA (value)0.51
    Beats guessing the QB average by 20%. n=1,965 QB seasons

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

2026 Production

Passing
34/45 Comp/Att539 Pass yards7 Pass TD0 INT75.6% Comp %
Rushing
6 Rush yards0 Rush TD7 Carries0.9 Yards/carry

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

17
Attempts
10.5y
Avg depth
14.0y
After catch
71%
Catch rate

The ball travels 10.5 yards in the air on an average throw 2.7 yards deeper than the median. Another 14.0 comes after the catch.

Where he throws

attempts · completion rate · yards
deep
0
2
50% · 23y
1
0% · 0y
short
5
80% · 60y
6
83% · 152y
3
67% · 28y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2026 · vs QB peers

  • Efficiency100
  • Volume100
  • Dual-Threat0
  • Consistency50
  • Clutch38
Player type
Efficient Passer

Maximises EPA per play through accuracy, decision-making, and getting the ball to the right place.

Elite EPA per playLow-turnover profileDecision-making
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Key findings
  • Top-10% efficiency among QBs — elite opponent-adjusted EPA rate.
  • High-volume role — one of the team's most-used QBs by play share.
  • Peak game: 1.29 EPA/play in Wk 1 vs Marshall (SP+ -14).

NIL Market Tier· 2026

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.

Game Log · box score + EPA, week by week

+1.2901.29Wk 1 vs Marshall: +1.29 EPA/play1Wk 2 vs Temple: +0.52 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTRush YdsRush TDEPA/play
1vsMarshallW45-0-14.413/1827140-501.29
2@TempleW27-9-4.921/27268301100.52

Usage & Situational · Pro

Snap-share proxy
Overall
37.6%
Passing plays
83.6%
Rushing plays
4.0%
Standard downs
30.1%
Passing downs
63.3%
EPA by down type
Standard downs
0.83
Passing downs
0.82
Pass / Rush EPA
0.90 / -0.53

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.720−0.222024
EPA per play · 2023 — 2024 · 27 games
SeasonTeamLine valueTotal EPA
2023Iowa State
10.4
251.3
2024Iowa State
6.2
231.8

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

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