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David Cohen Elite Prospects ↗

Position: Forward DOB: 1998-07-01 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 — NCDC 36 4 10 14 0.389 0.1096 0.1096 0.3149 0.3150
2018-19 Rochester Monarchs NCDC 50 13 11 24 0.480 0.1353 0.1276 0.3886 0.3666
■ 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 Lake Forest D3 NCHA SR 26 10 11 21 0.808
2021-22 Lake Forest D3 NCHA JR 25 5 6 11 0.440
2020-21 Lake Forest D3 NCHA SO 5 2 1 3 0.600
2019-20 Lake Forest D3 NCHA FR 25 9 7 16 0.640
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.64
2019-20 · Lake Forest
+520.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#32500
Forward overall
#1399
Forward born in 1998
#754
in NCDC

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Zachary Murray
Amherst · 2021-22
0.500 Average
actual D2/3 PPG
Ayrton Valente
SUNY Plattsburgh · 2013-14
0.542 Average
actual D2/3 PPG
Parker Colley
Marian · 2017-18
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.