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Taige Harding Elite Prospects ↗

Position: Defense DOB: 2002-01-03 Country: Canada
2021 · Round 3, Pick #91  ·  Chicago Blackhawks Chicago Blackhawks
Signed Professionally

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
2019-20 — AJHL 46 1 5 6 0.130 0.0437 0.0437 0.1207 0.1207
2020-21 — AJHL 16 5 8 13 0.812 0.2725 0.2725 0.7519 0.7519
2021-22 — AJHL 37 14 23 37 1.000 0.3354 0.3203 0.9254 0.8837
■ 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
2024-25 Providence D1 HockeyEast SR 37 2 12 14 0.378
2023-24 Providence D1 HockeyEast JR 34 2 6 8 0.235
2022-23 Providence D1 HockeyEast SO 37 4 13 17 0.460
2021-22 Providence D1 HockeyEast — 15 0 1 1 0.067
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.07
2021-22 · Providence
-60.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
0%
NCAA D2/D3
10%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

D1 Comparables

Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG

D2/3 Comparables

Nicholas Bondra
Amherst · 2016-17
0.714 Strong
actual D2/3 PPG
Patrick Jobb
SUNY Plattsburgh · 2008-09
0.556 Average
actual D2/3 PPG
Adam Kudynski
Lebanon Valley · 2003-04
0.909 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.