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Grant Parshall Elite Prospects ↗

Position: Forward DOB: 2003-10-06 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
2021-22 Pittsburgh Vengeance USPHL-Premier 5 3 2 5 1.000 0.1128 0.1188 0.3402 0.3583
2022-23 New York Apple Core EHL 17 2 10 12 0.706 0.1033 0.1067 0.3461 0.3576
2023-24 Tampa Bay Juniors USPHL-Premier 34 11 32 43 1.265 0.1427 0.1364 0.4303 0.4113
■ 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 King's D3 MAC — 25 8 6 14 0.560
2024-25 King's D3 MAC — 8 1 2 3 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.38
2024-25 · King's
+251.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D2/D3
5%
Club / ACHA
0%
Other

NCAAe Rankings

#13081
Forward overall
#623
Forward born in 2003
#714
in USPHL-Premier

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG

D2/3 Comparables

Chad Hennum
Hamline · 2011-12
0.778 Strong
actual D2/3 PPG
Jeff Eppright
New England · 2016-17
1.036 Elite
actual D2/3 PPG
Gavin Payne
St. Thomas · 2016-17
0.600 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.