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Carson Redd Elite Prospects ↗

Position: Defense DOB: 2004-03-10 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
2023-24 Metro Jets USPHL-Premier 41 11 46 57 1.390 0.1818 0.1777 0.4718 0.4610
■ 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 Grand Valley State University ACHA_D1 — — 18 3 2 5 0.278
2024-25 Grand Valley State University ACHA_D1 — — 18 3 2 5 0.278
2023-24 Grand Valley State University ACHA_D1 — — 18 3 2 5 0.278
2022-23 Grand Valley State University ACHA_D1 — — 18 3 2 5 0.278
2021-22 Grand Valley State University ACHA_D1 — — 18 3 2 5 0.278
2020-21 Grand Valley State University ACHA_D1 — — 18 3 2 5 0.278

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D2/D3
0%
Club / ACHA
22%
Other

NCAAe Rankings

#1426
Defenseman overall
#238
Defenseman born in 2004
#214
in USPHL-Premier

D1 Comparables

Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.16 Elite D
NCAAe PPG
Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.20 Average D
NCAAe PPG
Joseph Fiala
USHL · 2012-13 · 0.22 PPG
→ Quinnipiac (0.05 D1 FR PPG)
0.12 Developing D
NCAAe PPG

D2/3 Comparables

Vladislav Sorokin
Wisconsin-Stout · 2017-18
0.348 Developing
actual D2/3 PPG
Sam Yearsley
St. Scholastica · 2006-07
0.500 Average
actual D2/3 PPG
Kevin O'Donnell
Wisconsin-Stout · 2009-10
0.926 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.