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Kyler Campbell Elite Prospects ↗

Position: Forward DOB: 2001-04-10 Country: Canada
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 Kirkland Lake Gold Miners NOJHL 53 12 13 25 0.472 0.0795 0.0795 0.1960 0.1960
2020-21 Kirkland Lake Gold Miners NOJHL 5 3 0 3 0.600 0.1012 0.1012 0.2493 0.2493
2021-22 Greater Sudbury Cubs NOJHL 44 28 18 46 1.046 0.1763 0.1602 0.4344 0.3948
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 Albertus Magnus D3 UCHC SR 16 1 0 1 0.062
2024-25 Albertus Magnus D3 UCHC JR 8 0 1 1 0.125
2023-24 Albertus Magnus D3 UCHC SO 0 0 0 0 0.000
2022-23 Albertus Magnus D3 UCHC FR 10 2 2 4 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
Actual FR PPG
0.40
2022-23 · Albertus Magnus
+191.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D1
28%
NCAA D2/D3
68%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#30220
Forward overall
#1198
Forward born in 2001
#317
in NOJHL

D1 Comparables

USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG

D2/3 Comparables

Southern New Hampshire · 2017-18
0.333 Developing
actual D2/3 PPG
Aurora · 2016-17
0.280 Developing
actual D2/3 PPG
Fredonia · 2015-16
0.429 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.