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Alex Gillies Elite Prospects ↗

Position: Forward DOB: 1995-05-19 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
2011-12 Salmon Arm Silverbacks BCHL 50 10 8 18 0.360 0.1387 0.1555 0.5239 0.5873
2012-13 Salmon Arm Silverbacks BCHL 51 21 26 47 0.922 0.3551 0.3813 1.3412 1.4402
2013-14 Salmon Arm Silverbacks BCHL 46 28 30 58 1.261 0.4858 0.4992 1.8350 1.8857
■ 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 Michigan Tech D1 WCHA SR 24 4 4 8 0.333
2016-17 Michigan Tech D1 WCHA JR 35 5 5 10 0.286
2015-16 Michigan Tech D1 WCHA SO 33 5 10 15 0.455
2014-15 Michigan Tech D1 WCHA FR 25 3 3 6 0.240
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.39
before college
→
Actual FR PPG
0.24
2014-15 · Michigan Tech
-38.0% vs. projection

NCAAe Rankings

#11945
Forward overall
#485
Forward born in 1995
#385
in BCHL

D1 Comparables

Sheldon Dries
USHL · 2012-13 · 0.91 PPG
→ Western Michigan (0.18 D1 FR PPG)
0.53 Developing
NCAAe PPG
John Stevens
USHL · 2012-13 · 0.81 PPG
→ Northeastern (0.59 D1 FR PPG)
0.48 Strong
NCAAe PPG
Austin Ortega
USHL · 2012-13 · 0.91 PPG
→ Nebraska Omaha (0.54 D1 FR PPG)
0.53 Average
NCAAe PPG
Drew Smolcynski
USHL · 2012-13 · 0.69 PPG
→ St. Lawrence (0.44 D1 FR PPG)
0.41 Average
NCAAe PPG
C.J. Suess
USHL · 2012-13 · 0.95 PPG
→ Minnesota (0.76 D1 FR PPG)
0.56 Strong
NCAAe PPG

D2/3 Comparables

Ryan Woodward
SUNY Oswego · 2000-01
1.226 Elite
actual D2/3 PPG
Donny Flynn
Wilkes · 2015-16
1.423 Elite
actual D2/3 PPG
Zach Tarantino
UMass Dartmouth · 2017-18
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.