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Nate Hanley Elite Prospects ↗

Position: Forward DOB: 2002-05-30 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
2018-19 Cedar Rapids RoughRiders USHL 27 2 3 5 0.185 0.1138 0.1259 0.5456 0.6038
2019-20 Cedar Rapids RoughRiders USHL 46 10 15 25 0.543 0.3341 0.3341 1.6013 1.6013
2020-21 — USHL 36 4 2 6 0.167 0.1025 0.1025 0.4911 0.4911
2021-22 Cedar Rapids RoughRiders USHL 53 9 18 27 0.509 0.3131 0.2993 1.5008 1.4348
■ 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 Union D1 ECAC SR 36 6 16 22 0.611
2024-25 Union D1 ECAC JR 35 10 18 28 0.800
2023-24 Union D1 ECAC SO 37 4 22 26 0.703
2022-23 Union D1 ECAC FR 35 5 16 21 0.600
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.60
2022-23 · Union
+204.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

57%
NCAA D1
0%
NCAA D2/D3
35%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#21048
Forward overall
#1149
Forward born in 2002
#2102
in USHL

D1 Comparables

Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.23 Developing
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.33 Average
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Conlan Keenan
SUNY Geneseo · 2014-15
1.296 Elite
actual D2/3 PPG
Kyle Cook
Nichols · 2011-12
1.185 Elite
actual D2/3 PPG
Jason Cassells
Elmira · 2000-01
0.955 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.