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Tanner Shaw Elite Prospects ↗

Position: Defense DOB: 1994-09-13 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 Aurora Tigers OJHL 3 0 0 0 0.000 — — — —
2011-12 Aurora Tigers OJHL 36 0 9 9 0.250 0.0613 0.0663 0.1721 0.1861
2012-13 Aurora Tigers OJHL 41 0 10 10 0.244 0.0598 0.0617 0.1679 0.1732
2013-14 Pickering Panthers OJHL 52 6 27 33 0.635 0.1555 0.1525 0.4369 0.4284
2014-15 Oakville Blades OJHL 45 9 26 35 0.778 0.1906 0.1770 0.5355 0.4974
■ 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
2018-19 Hobart D3 SUNYAC SR 29 6 9 15 0.517
2017-18 Hobart D3 SUNYAC JR 29 6 13 19 0.655
2016-17 Hobart D3 SUNYAC SO 27 2 19 21 0.778
2015-16 Hobart D3 SUNYAC FR 27 5 6 11 0.407
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.41
2015-16 · Hobart
+158.2% vs. projection

NCAAe Rankings

#7942
Defenseman overall
#1190
Defenseman born in 1994
#1667
in OJHL

D1 Comparables

Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG

D2/3 Comparables

Greg Diamond
SUNY Geneseo · 2024-25
0.518 Average
actual D2/3 PPG
Connor Hogg
Concordia · 2014-15
0.560 Average
actual D2/3 PPG
Josh Timpano
SUNY Oswego · 2012-13
0.500 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.