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Richard Gallant Elite Prospects ↗

Position: Forward DOB: 2007-06-12 Country: USA
2025 · Round 7, Pick #210  ·  San Jose Sharks San Jose Sharks
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
2021-22 St. Marks NE-Prep 23 15 24 39 1.696 0.3359 0.3359 0.7726 0.7726
2022-23 St. Marks NE-Prep 17 12 19 31 1.823 0.3612 0.3612 0.8308 0.8308
2023-24 — NTDP-U18 40 3 12 15 0.375 0.2787 0.2869 1.3993 1.4407
2024-25 U.S. National U18 Team NTDP-U18 66 29 24 53 0.803 0.5969 0.5865 2.9963 2.9440
■ 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 Harvard D1 ECAC FR 34 8 10 18 0.529
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.40
before college
→
Actual FR PPG
0.53
2025-26 · Harvard
+32.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

95%
NCAA D1
0%
NCAA D2/D3
5%
Pro / Other

NCAAe Rankings

#7143
Forward overall
#131
Forward born in 2007

D1 Comparables

Sean Malone
USHL · 2012-13 · 0.87 PPG
→ Harvard (0.65 D1 FR PPG)
0.54 Strong
NCAAe PPG
Gabe Guertler
USHL · 2012-13 · 0.85 PPG
→ Minnesota (0.21 D1 FR PPG)
0.53 Developing
NCAAe PPG
Trevor Moore
USHL · 2012-13 · 1.02 PPG
→ Denver (0.76 D1 FR PPG)
0.63 Strong
NCAAe PPG
Matthew Weis
USHL · 2012-13 · 0.71 PPG
→ Ohio State (0.67 D1 FR PPG)
0.44 Strong
NCAAe PPG
J.T. Compher
NTDP-U18 · 2012-13 · 0.96 PPG
→ Michigan (0.89 D1 FR PPG)
0.69 Elite
NCAAe PPG

D2/3 Comparables

Geordan Buffoline
University of New England · 2017-18
1.667 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2016-17
1.448 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2002-03
1.704 Elite
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.