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Jake Crespi Elite Prospects ↗

Position: Defense DOB: 1998-12-10 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
2017-18 Tri-City Storm USHL 51 8 7 15 0.294 0.1735 0.1709 0.8833 0.8698
2018-19 Tri-City Storm USHL 18 8 4 12 0.667 0.3933 0.3670 2.0024 1.8686
■ 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
2022-23 Michigan Tech D1 CCHA SR 34 4 10 14 0.412
2021-22 Michigan Tech D1 CCHA JR 21 1 1 2 0.095
2020-21 Michigan Tech D1 WCHA SO 26 5 3 8 0.308
2019-20 Michigan Tech D1 WCHA FR 20 0 2 2 0.100
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.10
2019-20 · Michigan Tech
-63.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

70%
NCAA D1
5%
NCAA D2/D3
18%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#2935
Defenseman overall
#675
Defenseman born in 1998
#1420
in USHL

D1 Comparables

Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG

D2/3 Comparables

Travis Janke
Norwich · 2009-10
1.258 Elite
actual D2/3 PPG
Collin Patterson
UMass Dartmouth · 2022-23
1.125 Elite
actual D2/3 PPG
Doug Lindensmith
Norwich · 2010-11
1.044 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.