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Grant Ellings Elite Prospects ↗

Position: Forward DOB: 2002-07-23 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 Benilde-St. Margaret's USHS-MN 28 7 12 19 0.679 0.0836 0.0836 0.1648 0.1648
2020-21 Benilde-St. Margaret's USHS-MN 21 7 15 22 1.048 0.1291 0.1291 0.2545 0.2545
2021-22 New Mexico Ice Wolves NAHL 57 7 12 19 0.333 0.1184 0.1189 0.3499 0.3514
2022-23 — NAHL 36 2 9 11 0.306 0.1085 0.1036 0.3208 0.3064
■ 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 Gustavus Adolphus D3 MIAC GR 25 9 8 17 0.680
2024-25 Gustavus Adolphus D3 MIAC SR 15 7 5 12 0.800
2023-24 Gustavus Adolphus D3 MIAC JR 25 8 8 16 0.640
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.64
2023-24 · Gustavus Adolphus
+581.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
15%
NCAA D2/D3
52%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#34640
Forward overall
#2082
Forward born in 2002

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
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
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Jordan Renaud
SUNY Brockport · 2017-18
0.591 Average
actual D2/3 PPG
David Cohen
Lake Forest · 2018-19
0.640 Average
actual D2/3 PPG
Adam Lang
Saint Anselm · 2025-26
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.