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Griffin Clark Elite Prospects ↗

Position: Forward DOB: 1998-05-03 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 South Shore Kings USPHL-Premier 27 11 11 22 0.815 0.0919 0.0854 0.2766 0.2569
■ 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 Suffolk D3 CNE SR 20 6 6 12 0.600
2021-22 Suffolk D3 CNE JR 17 5 3 8 0.471
2020-21 Suffolk D1 CNE SO 2 1 2 3 1.500
2020-21 Suffolk D3 CNE SO 2 1 2 3 1.500
2019-20 Suffolk D1 CNE FR 22 4 4 8 0.364
2019-20 Suffolk D3 CNE FR 22 4 4 8 0.364
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.36
2019-20 · Suffolk
+397.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#17124
Forward overall
#808
Forward born in 1998
#1068
in USPHL-Premier

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Jared Hummel
Hamline · 2006-07
1.148 Elite
actual D2/3 PPG
Andrew Harrison
Wisconsin-River Falls · 2007-08
0.318 Developing
actual D2/3 PPG
Nick Rutigliano
Hamilton · 2016-17
0.680 Strong
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.