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Nathan LeGrette Elite Prospects ↗

Position: Forward DOB: 2003-09-17 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
2019-20 Rochester Monarchs USPHL-Premier 42 3 3 6 0.143 0.0187 0.0187 0.0485 0.0485
2021-22 New England Wolves EHL 2 0 1 1 0.500 0.1155 0.1250 0.2447 0.2649
2022-23 New England Wolves EHL 42 0 4 4 0.095 0.0220 0.0227 0.0466 0.0480
2023-24 New England Wolves EHL 45 7 7 14 0.311 0.0719 0.0705 0.1522 0.1492
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
2025-26 Stony Brook University ACHA_D1 24 2 3 5 0.208
2024-25 Stony Brook University ACHA_D1 24 2 3 5 0.208
2023-24 Stony Brook University ACHA_D1 24 2 3 5 0.208
2022-23 Stony Brook University ACHA_D1 24 2 3 5 0.208
2021-22 Stony Brook University ACHA_D1 24 2 3 5 0.208
2020-21 Stony Brook University ACHA_D1 24 2 3 5 0.208
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.02
before college
Actual FR PPG
0.21
2020-21 · Stony Brook University
+1201.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
2%
Club / ACHA
2%
Other

NCAAe Rankings

#50045
Forward overall
#3350
Forward born in 2003

D1 Comparables

USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG

D2/3 Comparables

Wisconsin-Stout · 2003-04
0.556 Average
actual D2/3 PPG
SUNY Brockport · 2016-17
0.143 Developing
actual D2/3 PPG
Marian · 2015-16
0.000 No data
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.