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Noah Holt Elite Prospects ↗

Position: Forward DOB: 2002-10-03 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 — NAHL 46 9 8 17 0.370 0.1358 0.1377 0.3901 0.3956
2022-23 Kenai River Brown Bears NAHL 54 10 16 26 0.481 0.1769 0.1707 0.5082 0.4904
■ 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 Ohio University ACHA_D1 — — 33 12 16 28 0.849
2024-25 Ohio University ACHA_D1 — — 33 12 16 28 0.849
2023-24 Ohio University ACHA_D1 — — 33 12 16 28 0.849
2022-23 Ohio University ACHA_D1 — — 33 12 16 28 0.849
2021-22 Ohio University ACHA_D1 — — 33 12 16 28 0.849
2020-21 Ohio University ACHA_D1 — — 33 12 16 28 0.849

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
10%
NCAA D2/D3
42%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#32393
Forward overall
#1929
Forward born in 2002
#3083
in NAHL

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)
0.28 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

Josiah Roen
Bethel · 2017-18
0.480 Average
actual D2/3 PPG
Arthur Gordon
SUNY Geneseo · 2014-15
0.652 Strong
actual D2/3 PPG
Kyle Wendorf
Hamline · 2016-17
0.400 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.