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Aidan Fulp Elite Prospects ↗

Position: Defense DOB: 2000-02-29 Country: USA
Signed Professionally

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 U.S. National U17 Team NTDP-U18 5 0 0 0 0.000 — — — —
2017-18 Dubuque Fighting Saints USHL 43 1 3 4 0.093 0.0549 0.0574 0.2793 0.2921
2018-19 Dubuque Fighting Saints USHL 44 2 12 14 0.318 0.1877 0.1866 0.9557 0.9502
2019-20 Dubuque Fighting Saints USHL 45 1 14 15 0.333 0.1966 0.1966 1.0010 1.0010
■ 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 Western Michigan D1 NCHC JR 38 2 13 15 0.395
2021-22 Western Michigan D1 NCHC SO 34 2 11 13 0.382
2020-21 Western Michigan D1 NCHC FR 25 0 11 11 0.440
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.44
2020-21 · Western Michigan
+240.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

80%
NCAA D1
0%
NCAA D2/D3
20%
Pro / Other

NCAAe Rankings

D1 Comparables

Justin Woods
USHL · 2012-13 · 0.32 PPG
→ Alaska Fairbanks (0.18 D1 FR PPG)
0.18 Average D
NCAAe PPG
Garret Cockerill
USHL · 2012-13 · 0.26 PPG
→ Northeastern (0.41 D1 FR PPG)
0.15 Strong D
NCAAe PPG
Clay Anderson
USHL · 2012-13 · 0.38 PPG
→ Harvard (0.21 D1 FR PPG)
0.22 Average D
NCAAe PPG
Johnny Wingels
USHL · 2012-13 · 0.29 PPG
→ Miami
0.17 No data
NCAAe PPG
Tim Davison
USHL · 2012-13 · 0.23 PPG
→ Wisconsin
0.13 No data
NCAAe PPG

D2/3 Comparables

Steve Evans
Westfield State · 2008-09
0.950 Strong
actual D2/3 PPG
Marlon Gardner
Neumann · 2005-06
1.067 Elite
actual D2/3 PPG
Connor Mahony
Gustavus Adolphus · 2021-22
0.500 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.