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Hunter Strand Elite Prospects ↗

Position: Forward DOB: 2002-11-13 Country: USA
No commitment set

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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
2018-19 U.S. National U17 Team NTDP-U18 56 8 5 13 0.232 0.1725 0.1813 0.8661 0.9101
2019-20 U.S. National U18 Team NTDP-U18 47 10 6 16 0.340 0.2530 0.2530 1.2702 1.2702
2020-21 Tri-City Storm USHL 51 20 29 49 0.961 0.5668 0.5668 2.8857 2.8857
■ 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
2024-25 Notre Dame D1 BigTen SR 38 8 8 16 0.421
2023-24 Notre Dame D1 BigTen JR 36 4 15 19 0.528
2022-23 Notre Dame D1 BigTen SO 37 5 10 15 0.405
2021-22 Notre Dame D1 BigTen FR 40 8 7 15 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.38
2021-22 · Notre Dame
+141.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
0%
NCAA D2/D3
72%
Pro / Other

NCAAe Rankings

#9742
Forward overall
#470
Forward born in 2002

D1 Comparables

Dylan Gambrell
USHL · 2012-13 · 0.47 PPG
→ Denver (1.15 D1 FR PPG)
0.31 Elite
NCAAe PPG
Anders Bjork
USHL · 2012-13 · 0.39 PPG
→ Notre Dame (0.54 D1 FR PPG)
0.26 Average
NCAAe PPG
Dylan Larkin
USHL · 2012-13 · 0.38 PPG
→ Michigan (1.34 D1 FR PPG)
0.25 Elite
NCAAe PPG
Nolan Stevens
USHL · 2012-13 · 0.24 PPG
→ Northeastern (0.33 D1 FR PPG)
0.16 Developing
NCAAe PPG
Chris Wilkie
USHL · 2012-13 · 0.37 PPG
→ North Dakota (0.28 D1 FR PPG)
0.24 Developing
NCAAe PPG

D2/3 Comparables

Garrett Hallford
Trine · 2013-14
0.960 Strong
actual D2/3 PPG
Tom Bark
Lake Forest · 2006-07
1.120 Elite
actual D2/3 PPG
Mickey Gilchrist
Middlebury · 2001-02
1.000 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.