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Carson Reed Elite Prospects ↗

Position: Defense DOB: 2004-04-20 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
2019-20 Warroad USHS-MN 31 7 20 27 0.871 0.1073 0.1073 0.2116 0.2116
2020-21 Warroad USHS-MN 20 5 21 26 1.300 0.1602 0.1602 0.3158 0.3158
2021-22 Warroad USHS-MN 31 9 30 39 1.258 0.1550 0.1550 0.3056 0.3056
2022-23 Niverville Nighthawks MJHL 50 5 21 26 0.520 0.1001 0.1029 0.3277 0.3370
2023-24 Waterloo Black Hawks USHL 56 3 9 12 0.214 0.1264 0.1199 0.6314 0.5992
■ 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 Alaska Fairbanks D1 WCHA SO 32 2 6 8 0.250
2024-25 Alaska Fairbanks D1 — — 31 1 1 2 0.065
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.06
2024-25 · Alaska Fairbanks
-39.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
12%
NCAA D2/D3
30%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#7830
Defenseman overall
#1842
Defenseman born in 2004

D1 Comparables

Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.16 Elite D
NCAAe PPG

D2/3 Comparables

Greg Pezza
Connecticut College · 2015-16
0.300 Developing
actual D2/3 PPG
Colin Vassallo
SUNY Oswego · 2022-23
0.885 Strong
actual D2/3 PPG
Garrett Alberti
Saint Anselm · 2021-22
0.625 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.