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Elliott Clemmons Elite Prospects ↗

Position: Forward DOB: 1998-08-04 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
2016-17 Rochester Monarchs USPHL-Elite 40 23 28 51 1.275 0.1177 0.1226 0.2920 0.3043
2017-18 Rochester Monarchs NCDC 39 10 1 11 0.282 0.1150 0.1156 0.2268 0.2279
2018-19 Rochester Monarchs NCDC 46 17 10 27 0.587 0.2393 0.2268 0.4718 0.4472
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 Endicott D3 CNE SR 8 1 2 3 0.375
2021-22 Endicott D3 CNE JR 7 0 0 0 0.000
2020-21 Endicott D1 CNE SO 3 1 2 3 1.000
2020-21 Endicott D3 CNE SO 3 1 2 3 1.000
2019-20 Endicott D1 CNE FR 24 2 5 7 0.292
2019-20 Endicott D3 CNE FR 24 2 5 7 0.292
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
Actual FR PPG
0.29
2019-20 · Endicott
+86.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#19280
Forward overall
#915
Forward born in 1998

D1 Comparables

USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

SUNY Cortland · 2018-19
0.600 Average
actual D2/3 PPG
Bowdoin · 2021-22
0.000 No data
actual D2/3 PPG
Manhattanville · 2024-25
0.263 Developing
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.