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Sam Gray Elite Prospects ↗

Position: Defense DOB: 1992-12-31 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
2010-11 Haliburton County Huskies OJHL 43 11 16 27 0.628 0.1539 0.1601 0.4298 0.4472
2011-12 Haliburton County Huskies OJHL 49 20 9 29 0.592 0.1451 0.1446 0.4051 0.4036
2012-13 Haliburton County Huskies OJHL 53 14 19 33 0.623 0.1526 0.1444 0.4262 0.4034
■ 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
2016-17 Williams D3 NESCAC SR 26 1 12 13 0.500
2015-16 Williams D3 NESCAC JR 27 3 6 9 0.333
2014-15 Williams D3 NESCAC SO 25 3 6 9 0.360
2013-14 Williams D3 NESCAC FR 25 3 3 6 0.240
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.24
2013-14 · Williams
+76.0% vs. projection

NCAAe Rankings

#7633
Defenseman overall
#1144
Defenseman born in 1992
#1646
in OJHL

D1 Comparables

Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Joseph Fiala
USHL · 2012-13 · 0.22 PPG
→ Quinnipiac (0.05 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Michael Wiggins
Wisconsin-Superior · 2016-17
0.692 Strong
actual D2/3 PPG
Drew Otto
St. Olaf · 2013-14
0.250 Developing
actual D2/3 PPG
Patrick O'Neal
Norwich · 2018-19
0.375 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.