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Nate Boak Elite Prospects ↗

Position: Defense DOB: 2002-07-12 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
2020-21 — NAHL 46 1 10 11 0.239 0.0849 0.0849 0.2510 0.2510
2021-22 Odessa Jackalopes NAHL 35 1 6 7 0.200 0.0710 0.0712 0.2100 0.2106
2022-23 — NAHL 55 0 12 12 0.218 0.0775 0.0739 0.2291 0.2185
■ 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 SUNY Cortland D3 SUNYAC JR 20 0 8 8 0.400
2024-25 SUNY Cortland D3 SUNYAC SO 24 2 6 8 0.333
2023-24 SUNY Cortland D3 SUNYAC FR 16 0 2 2 0.125
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.12
2023-24 · SUNY Cortland
+82.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
12%
NCAA D2/D3
65%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#19311
Defenseman overall
#3216
Defenseman born in 2002
#5671
in NAHL

D1 Comparables

William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG

D2/3 Comparables

Bailey Kirwin
Albertus Magnus · 2021-22
0.333 Developing
actual D2/3 PPG
Michael McIntosh
Amherst · 2003-04
0.640 Average
actual D2/3 PPG
Paolo Dipasquale
St. Norbert · 2001-02
0.538 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.