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Nathan Burke Elite Prospects ↗

Position: Forward DOB: 1998-12-21 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
2016-17 Aberdeen Wings NAHL 5 2 1 3 0.600 0.2204 0.2351 0.6333 0.6756
2017-18 Aberdeen Wings NAHL 60 32 24 56 0.933 0.3429 0.3489 0.9851 1.0022
■ 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
2022-23 Bowling Green D1 CCHA — 36 17 12 29 0.806
2021-22 Bowling Green D1 CCHA — 37 16 7 23 0.622
2020-21 Minnesota D1 BigTen JR 26 4 3 7 0.269
2019-20 Minnesota D1 BigTen SO 32 3 3 6 0.188
2018-19 Minnesota D1 BigTen FR 26 6 9 15 0.577
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.58
2018-19 · Minnesota
+122.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
0%
NCAA D2/D3
57%
Pro / Other

NCAAe Rankings

#10535
Forward overall
#472
Forward born in 1998
#277
in NAHL

D1 Comparables

Peter Krieger
NAHL · 2012-13 · 0.92 PPG
→ Alaska Fairbanks (0.39 D1 FR PPG)
0.34 Average
NCAAe PPG
Joe Cox
USHL · 2012-13 · 0.65 PPG
→ Michigan State (0.33 D1 FR PPG)
0.37 Developing
NCAAe PPG
Kevin Duane
USHL · 2012-13 · 0.67 PPG
→ Boston University (0.31 D1 FR PPG)
0.39 Developing
NCAAe PPG
Andrew Poturalski
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.72 D1 FR PPG)
0.36 Strong
NCAAe PPG
Kyle Schempp
USHL · 2012-13 · 0.64 PPG
→ Ferris State (0.58 D1 FR PPG)
0.37 Strong
NCAAe PPG

D2/3 Comparables

Colin Fitzpatrick
Saint Anselm · 2025-26
1.000 Elite
actual D2/3 PPG
Brent Rickett
Norwich · 2018-19
0.500 Average
actual D2/3 PPG
Max Resnick
Tufts · 2020-21
0.720 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.