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Jarod Crespo Elite Prospects ↗

Position: Defense DOB: 2002-04-30 Country: USA
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2018-19 Salisbury School NE-Prep 29 3 11 14 0.483 0.1362 0.1362 — —
2019-20 Green Bay Gamblers USHL 5 0 0 0 0.000 — — — —
2020-21 Green Bay Gamblers USHL 35 3 5 8 0.229 0.1405 0.1405 0.6735 0.6735
2021-22 Green Bay Gamblers USHL 58 8 20 28 0.483 0.2968 0.2825 1.4224 1.3540
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Penn State D1 BigTen SR 37 5 12 17 0.460
2024-25 Penn State D1 BigTen JR 36 2 5 7 0.194
2023-24 Penn State D1 BigTen SO 35 3 5 8 0.229
2022-23 Penn State D1 BigTen FR 33 2 8 10 0.303
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.30
2022-23 · Penn State
+43.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

78%
NCAA D1
2%
NCAA D2/D3
10%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#5973
Defenseman overall
#1508
Defenseman born in 2002

D1 Comparables

Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.28 Developing D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.26 Average D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.26 Strong D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.21 Average D
NCAAe PPG

D2/3 Comparables

Ryan Cole
Trinity · 2011-12
1.846 Elite
actual D2/3 PPG
Aidan Radic
Roger Williams · 2024-25
0.778 Strong
actual D2/3 PPG
Anthony Marra
SUNY Geneseo · 2013-14
1.161 Elite
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.