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AJ Reed Elite Prospects ↗

Position: Forward DOB: 2004-05-01 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
2021-22 Philadelphia Rebels NAHL 10 2 3 5 0.500 0.1981 0.2165 0.5250 0.5738
2022-23 El Paso Rhinos NAHL 49 9 7 16 0.327 0.1294 0.1351 0.3428 0.3578
2023-24 El Paso Rhinos NAHL 56 9 18 27 0.482 0.1910 0.1902 0.5062 0.5042
2024-25 El Paso Rhinos NAHL 59 18 19 37 0.627 0.2485 0.2345 0.6584 0.6212
■ 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 Wisconsin-Superior D3 WIAC FR 25 5 6 11 0.440
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.44
2025-26 · Wisconsin-Superior
+137.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
15%
NCAA D2/D3
60%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#27708
Forward overall
#1607
Forward born in 2004
#2380
in NAHL

D1 Comparables

Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG

D2/3 Comparables

Mathieu MacMillan
Utica · 2024-25
0.474 Average
actual D2/3 PPG
Brendan Dicker
Arcadia · 2021-22
0.542 Average
actual D2/3 PPG
Eric Brenk
Augsburg · 2014-15
0.560 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.