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Garret Cockerill Elite Prospects ↗

Position: Defense DOB: 1994-02-19 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
2010-11 Muskegon Lumberjacks USHL 2 0 0 0 0.000 — — — —
2011-12 U.S. National U17 Team NTDP-U18 2 0 0 0 0.000 — — — —
2012-13 Des Moines Buccaneers USHL 53 4 10 14 0.264 0.1559 0.1540 0.7935 0.7836
2013-14 — USHL 46 8 12 20 0.435 0.2565 0.2413 1.3059 1.2286
■ 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
2017-18 Northeastern D1 HockeyEast SR 13 1 14 15 1.154
2016-17 Northeastern D1 HockeyEast JR 38 7 26 33 0.868
2015-16 Northeastern D1 HockeyEast SO 37 8 14 22 0.595
2014-15 Northeastern D1 HockeyEast FR 34 3 11 14 0.412
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.41
2014-15 · Northeastern
+111.4% vs. projection

NCAAe Rankings

#5615
Defenseman overall
#969
Defenseman born in 1994
#2405
in USHL

D1 Comparables

Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG

D2/3 Comparables

Peter Unger
Keene State · 2023-24
0.957 Strong
actual D2/3 PPG
Logan DiScanio
University of New England · 2018-19
1.000 Elite
actual D2/3 PPG
Daniel Eruzione
Salve Regina · 2015-16
1.207 Elite
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.