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Blake Campbell Elite Prospects ↗

Position: Defense DOB: 2000-03-03 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
2017-18 Mid Cities Jr. Stars NA3HL 40 1 8 9 0.225 0.0518 0.0553 0.0713 0.0761
2018-19 Mid Cities Jr. Stars NA3HL 33 6 16 22 0.667 0.1533 0.1556 0.2112 0.2144
2019-20 Melville Millionaires SJHL 48 3 8 11 0.229 0.0698 0.0698 0.1699 0.1699
2020-21 Charlotte Rush USPHL-Premier 20 1 4 5 0.250 0.0824 0.0824 — —
■ 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
2024-25 Saint Mary's (MN) D3 MIAC SR 6 0 0 0 0.000
2023-24 Saint Mary's (MN) D3 MIAC JR 9 0 1 1 0.111
2022-23 Saint Mary's (MN) D3 MIAC SO 16 1 0 1 0.062
2021-22 Saint Mary's (MN) D3 MIAC FR 2 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D2/D3
0%
Club / ACHA
78%
Other

NCAAe Rankings

#17925
Defenseman overall
#2734
Defenseman born in 2000

D1 Comparables

Garret Cockerill
USHL · 2012-13 · 0.26 PPG
→ Northeastern (0.41 D1 FR PPG)
0.16 Strong D
NCAAe PPG
Tim Davison
USHL · 2012-13 · 0.23 PPG
→ Wisconsin
0.14 No data
NCAAe PPG
Justin Woods
USHL · 2012-13 · 0.32 PPG
→ Alaska Fairbanks (0.18 D1 FR PPG)
0.19 Average D
NCAAe PPG
Zach Frye
USHL · 2012-13 · 0.19 PPG
→ Alaska Fairbanks (0.28 D1 FR PPG)
0.12 Average D
NCAAe PPG
Johnny Wingels
USHL · 2012-13 · 0.29 PPG
→ Miami
0.18 No data
NCAAe PPG

D2/3 Comparables

Henry Cleghorn
SUNY Geneseo · 2015-16
0.533 Average
actual D2/3 PPG
Eddie Shepler
Milwaukee School of Engineering · 2021-22
0.560 Average
actual D2/3 PPG
Brandon Ingraham
Milwaukee School of Engineering · 2005-06
0.000 No data
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.