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Colin Murray Elite Prospects ↗

Position: Forward DOB: 1989-11-06 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
2007-08 Orangeville Crushers OJHL 4 1 1 2 0.500 0.1226 0.1267 0.3443 0.3558
2008-09 Cobourg Cougars OJHL 14 1 2 3 0.214 0.0525 0.0516 0.1475 0.1449
2009-10 — OJHL 49 11 11 22 0.449 0.1100 0.1023 0.3091 0.2873
■ 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
2013-14 Castleton D3 LittleEast SR 26 7 17 24 0.923
2012-13 Castleton D3 LittleEast JR 19 3 5 8 0.421
2011-12 Castleton D3 LittleEast SO 20 12 11 23 1.150
2010-11 Castleton D3 LittleEast FR 20 8 7 15 0.750
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.75
2010-11 · Castleton
+968.4% vs. projection

NCAAe Rankings

#45669
Forward overall
#1514
Forward born in 1989
#3226
in OJHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG

D2/3 Comparables

Bryan Zurowski
SUNY Geneseo · 2018-19
0.267 Developing
actual D2/3 PPG
Ryan Olson
Finlandia · 2003-04
0.625 Average
actual D2/3 PPG
Teague Porter
Wilkes · 2022-23
0.538 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.