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Jake Gingell Elite Prospects ↗

Position: Defense DOB: 1997-02-11 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
2013-14 Omaha Lancers USHL 1 0 0 0 0.000 — — — —
2014-15 Omaha Lancers USHL 50 2 4 6 0.120 0.0708 0.0737 0.3604 0.3750
2015-16 Omaha Lancers USHL 55 1 5 6 0.109 0.0644 0.0640 0.3277 0.3258
2016-17 Youngstown Phantoms USHL 57 1 8 9 0.158 0.0931 0.0878 0.4742 0.4472
2017-18 Youngstown Phantoms USHL 50 3 6 9 0.180 0.1062 0.0949 0.5406 0.4830
■ 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
2021-22 Michigan D1 BigTen — 2 0 0 0 0.000
2020-21 Michigan D1 BigTen JR 2 0 0 0 0.000
2019-20 Michigan D1 BigTen SO 8 0 0 0 0.000
2018-19 Michigan D1 BigTen FR 1 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
5%
NCAA D2/D3
62%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#17717
Defenseman overall
#2408
Defenseman born in 1997
#3858
in USHL

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Alex Walicki
Wentworth · 2023-24
0.500 Average
actual D2/3 PPG
Fabio Kläy
Castleton · 2014-15
0.762 Strong
actual D2/3 PPG
Christopher Benkovitz
Arcadia · 2024-25
0.522 Average
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.