IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Kyler Magus Elite Prospects ↗

Position: Forward DOB: 1996-12-12 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
2015-16 Calgary Canucks AJHL 60 12 10 22 0.367 0.1217 0.1219 0.3399 0.3403
2016-17 Calgary Canucks AJHL 59 12 19 31 0.525 0.1743 0.1660 0.4869 0.4638
■ 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
2020-21 Lake Forest D1 — SR 5 0 0 0 0.000
2020-21 Lake Forest D3 NCHA SR 5 0 0 0 0.000
2019-20 Lake Forest D1 — JR 27 5 8 13 0.481
2019-20 Lake Forest D3 NCHA JR 27 5 8 13 0.481
2018-19 Lake Forest D1 — SO 27 4 2 6 0.222
2018-19 Lake Forest D3 NCHA SO 27 4 2 6 0.222
2017-18 Lake Forest D3 NCHA FR 12 1 2 3 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.25
2017-18 · Lake Forest
+96.9% vs. projection

NCAAe Rankings

#36157
Forward overall
#1563
Forward born in 1996
#1544
in AJHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG

D2/3 Comparables

Connor McBride
St. Thomas · 2011-12
0.560 Average
actual D2/3 PPG
Bryan Gallagher
Marian · 2003-04
1.037 Elite
actual D2/3 PPG
Camden Markham
Wisconsin-Stevens Point · 2024-25
0.583 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.