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Quinn Fuchs Elite Prospects ↗

Position: Forward DOB: 1995-08-10 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
2013-14 Minot Minotauros NAHL 4 0 2 2 0.500 0.1857 0.1949 0.5294 0.5557
2014-15 Minot Minotauros NAHL 46 4 9 13 0.283 0.1049 0.1046 0.2992 0.2984
2015-16 Minot Minotauros NAHL 13 0 2 2 0.154 0.0571 0.0544 0.1628 0.1551
■ 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
2019-20 Concordia D3 MIAC SR 27 2 11 13 0.481
2018-19 Concordia D3 MIAC JR 24 2 10 12 0.500
2017-18 Concordia D3 MIAC SO 26 2 10 12 0.462
2016-17 Concordia D3 MIAC FR 24 4 7 11 0.458
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.46
2016-17 · Concordia
+618.3% vs. projection

NCAAe Rankings

#39407
Forward overall
#1685
Forward born in 1995
#5100
in NAHL

D1 Comparables

Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Nick DeCenzo
NAHL · 2012-13 · 0.43 PPG
→ Army (0.32 D1 FR PPG)
0.16 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Ryan Dau
NAHL · 2012-13 · 0.41 PPG
→ Air Force (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG

D2/3 Comparables

John Lennartson
Augsburg · 2007-08
0.423 Average
actual D2/3 PPG
Connor MacDonell
Stevenson · 2021-22
0.400 Average
actual D2/3 PPG
John Mulvihill II
Tufts · 2021-22
0.217 Developing
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.