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Hunter Luhmann Elite Prospects ↗

Position: Forward DOB: 1997-05-02 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
2014-15 Madison Capitols USHL 46 2 4 6 0.130 0.0769 0.0809 0.3916 0.4118
2015-16 Waterloo Black Hawks USHL 40 3 4 7 0.175 0.1032 0.1037 0.5256 0.5283
2016-17 Prince George Spruce Kings BCHL 49 8 15 23 0.469 0.1809 0.1762 0.6831 0.6654
2017-18 Northern Cyclones NCDC 42 18 20 38 0.905 0.3689 0.3476 0.7273 0.6853
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 Endicott D1 CNE SO 3 0 0 0 0.000
2019-20 Endicott D3 CNE SO 3 0 0 0 0.000
2018-19 Endicott D1 CNE FR 19 6 2 8 0.421
2018-19 Endicott D3 CNE FR 19 6 2 8 0.421
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
Actual FR PPG
0.42
2018-19 · Endicott
+76.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#13463
Forward overall
#601
Forward born in 1997

D1 Comparables

USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
NAHL · 2012-13 · 1.06 PPG
→ Niagara (0.58 D1 FR PPG)
0.36 Strong
NCAAe PPG
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG

D2/3 Comparables

SUNY Cortland · 2016-17
0.739 Strong
actual D2/3 PPG
UMass Dartmouth · 2021-22
0.652 Strong
actual D2/3 PPG
SUNY Brockport · 2012-13
0.905 Strong
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.