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Tanner Scott Elite Prospects ↗

Position: Forward DOB: 2004-05-31 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
2020-21 Victoria Royals WHL 20 1 2 3 0.150 0.0730 0.0730 0.3681 0.3681
2021-22 Victoria Royals WHL 64 14 21 35 0.547 0.2661 0.2790 1.3419 1.4067
2022-23 Victoria Royals WHL 68 14 18 32 0.471 0.2289 0.2293 1.1547 1.1566
2023-24 Victoria Royals WHL 68 19 37 56 0.824 0.4006 0.3815 2.0206 1.9243
2024-25 Victoria Royals WHL 58 14 22 36 0.621 0.3020 0.2715 1.5230 1.3691
■ 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
2025-26 Bowling Green D1 CCHA — 4 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
12%
NCAA D2/D3
28%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#14616
Forward overall
#691
Forward born in 2004
#541
in WHL

D1 Comparables

Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
T.J. Sarcona
NAHL · 2012-13 · 1.06 PPG
→ Niagara (0.58 D1 FR PPG)
0.36 Strong
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Danny Liscio
SUNY Morrisville · 2014-15
1.083 Elite
actual D2/3 PPG
A.J. Shiverdecker
Westfield State · 2007-08
1.208 Elite
actual D2/3 PPG
Mitch Stephens
SUNY Geneseo · 2002-03
1.077 Elite
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.