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Noah Reinhart Elite Prospects ↗

Position: Forward DOB: 2004-05-09 Country: Canada
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
2022-23 Saint John Sea Dogs QMJHL 65 17 26 43 0.661 0.3250 0.3261 1.7664 1.7724
2023-24 Drummondville Voltigeurs QMJHL 66 26 34 60 0.909 0.4466 0.4261 2.4276 2.3162
2024-25 Val-d'Or Foreurs QMJHL 63 41 39 80 1.270 0.6239 0.5646 3.3907 3.0684
■ 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 Michigan Tech D1 CCHA FR 39 9 12 21 0.538
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.47
before college
→
Actual FR PPG
0.54
2025-26 · Michigan Tech
+13.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
0%
NCAA D2/D3
32%
Age-Out / Club
48%
Pro / Other

NCAAe Rankings

#5793
Forward overall
#166
Forward born in 2004
#196
in QMJHL

D1 Comparables

Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota State (0.15 D1 FR PPG)
0.49 Developing
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.46 Developing
NCAAe PPG

D2/3 Comparables

Gus Katsuras
Hamilton · 2001-02
1.400 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2018-19
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.