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Ty Higgins Elite Prospects ↗

Position: Defense DOB: 2004-09-26 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
2021-22 Acadie-Bathurst Titan QMJHL 31 3 10 13 0.419 0.2085 0.2234 1.1185 1.1984
2022-23 Acadie-Bathurst Titan QMJHL 68 13 28 41 0.603 0.2998 0.3066 1.6079 1.6442
2023-24 Rouyn-Noranda Huskies QMJHL 46 10 25 35 0.761 0.3783 0.3682 2.0293 1.9750
2024-25 Rouyn-Noranda Huskies QMJHL 63 19 48 67 1.063 0.5288 0.4887 2.8364 2.6211
■ 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 FR 21 1 10 11 0.524
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.42
before college
→
Actual FR PPG
0.52
2025-26 · Bowling Green
+26.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
0%
NCAA D2/D3
60%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#1549
Defenseman overall
#275
Defenseman born in 2004
#416
in QMJHL

D1 Comparables

Paul LaDue
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.51 D1 FR PPG)
0.44 Elite D
NCAAe PPG
Ryan Murray
WHL · 2012-13 · 0.74 PPG
→ Hamline (0.28 D1 FR PPG)
0.35 Average D
NCAAe PPG
Ryan Lowney
USHL · 2012-13 · 0.65 PPG
→ Ferris State (0.35 D1 FR PPG)
0.39 Strong D
NCAAe PPG
Matias Cleland
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.10 D1 FR PPG)
0.37 Developing D
NCAAe PPG

D2/3 Comparables

Lucas Signoretti
Buffalo State · 2023-24
1.120 Elite
actual D2/3 PPG
Zach Dill
Salem State · 2021-22
1.111 Elite
actual D2/3 PPG
Rihards Marenis
Aurora · 2013-14
1.000 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.