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Kyle Mortenson Elite Prospects ↗

Position: Defense DOB: 2002-04-09 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 Wayzata USHS-MN 26 4 8 12 0.462 0.0569 0.0569 0.1121 0.1121
2020-21 Granite City Lumberjacks NA3HL 22 3 5 8 0.364 0.0402 0.0402 0.1152 0.1152
2021-22 Granite City Lumberjacks NA3HL 47 7 31 38 0.808 0.0894 0.0870 0.2561 0.2492
2022-23 Granite City Lumberjacks NA3HL 47 13 34 47 1.000 0.1106 0.1026 — —
■ 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 Hamline D3 MIAC GR 24 1 7 8 0.333
2024-25 Hamline D3 MIAC SR 20 1 1 2 0.100
2023-24 Hamline D3 MIAC JR 25 3 9 12 0.480
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.48
2023-24 · Hamline
+427.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#7768
Defenseman overall
#1807
Defenseman born in 2002

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Truman Landowski
Hamilton · 2011-12
0.591 Average
actual D2/3 PPG
Bradley Pung
St. Norbert · 2013-14
0.567 Average
actual D2/3 PPG
Jack Stang
Saint Mary's (MN) · 2014-15
0.143 Developing
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.