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Garrett Pyke Elite Prospects ↗

Position: Defense DOB: 1999-08-01 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
2016-17 Oakville Blades OJHL 39 1 4 5 0.128 0.0314 0.0337 0.0882 0.0946
2017-18 Oakville Blades OJHL 53 3 16 19 0.358 0.0879 0.0901 0.2468 0.2529
2018-19 Oakville Blades OJHL 54 12 43 55 1.018 0.2496 0.2436 0.7010 0.6840
■ 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
2023-24 North Dakota D1 NCHC — 39 3 22 25 0.641
2022-23 Alaska Fairbanks D1 WCHA — 34 4 15 19 0.559
2021-22 Alaska Fairbanks D1 WCHA — 34 4 15 19 0.559
2020-21 Alaska Fairbanks D1 WCHA — 0 0 0 0 0.000
2019-20 Alaska Fairbanks D1 WCHA FR 15 0 3 3 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.20
2019-20 · Alaska Fairbanks
+16.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D1
5%
NCAA D2/D3
25%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#8182
Defenseman overall
#1710
Defenseman born in 1999
#1750
in OJHL

D1 Comparables

USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.05 D1 FR PPG)
0.28 Developing D
NCAAe PPG
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
USHL · 2012-13 · 0.55 PPG
→ St. Cloud State (0.23 D1 FR PPG)
0.31 Average D
NCAAe PPG
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG

D2/3 Comparables

Curry · 2018-19
0.000 No data
actual D2/3 PPG
Aurora · 2023-24
1.031 Elite
actual D2/3 PPG
Adrian · 2023-24
0.667 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.