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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 0.0698 0.0755 0.1725 0.1865
2012-13 Aurora Tigers OJHL 41 0 10 10 0.244 0.0681 0.0702 0.1683 0.1736
2013-14 Pickering Panthers OJHL 52 6 27 33 0.635 0.1773 0.1738 0.4379 0.4294
2014-15 Oakville Blades OJHL 45 9 26 35 0.778 0.2173 0.2018 0.5368 0.4986
■ 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
0.18
before college
→
Actual FR PPG
0.41
2015-16 · Hobart
+126.5% vs. projection

NCAAe Rankings

#5671
Defenseman overall
#974
Defenseman born in 1994
#1993
in OJHL

D1 Comparables

Dylan Zink
NAHL · 2012-13 · 0.62 PPG
→ UMass Lowell (0.04 D1 FR PPG)
0.22 Developing D
NCAAe PPG
Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.26 Elite D
NCAAe PPG
Jake Flynn
NAHL · 2012-13 · 0.39 PPG
→ UConn (0.30 D1 FR PPG)
0.14 Strong D
NCAAe PPG
Casey Nelson
NAHL · 2012-13 · 0.57 PPG
→ Minnesota State (0.26 D1 FR PPG)
0.20 Average D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green (0.49 D1 FR PPG)
0.24 Strong D
NCAAe PPG

D2/3 Comparables

Greg Diamond
SUNY Geneseo · 2024-25
0.518 Average
actual D2/3 PPG
Connor Hogg
Concordia Wisconsin · 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.