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Bryce Strand Elite Prospects ↗

Position: Defense DOB: 2004-02-10 Country: USA
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
2022-23 Philadelphia Rebels NAHL 36 1 3 4 0.111 0.0440 0.0454 0.1166 0.1204
2023-24 Philadelphia Rebels NAHL 60 3 6 9 0.150 0.0594 0.0585 0.1575 0.1551
2024-25 Philadelphia Rebels NAHL 54 1 19 20 0.370 0.1468 0.1369 0.3889 0.3626
■ 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 Minnesota D1 BigTen — 35 1 3 4 0.114
2025-26 Minnesota State D1 CCHA FR 31 1 3 4 0.129
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.11
2025-26 · Minnesota
+14.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
15%
NCAA D2/D3
45%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#17772
Defenseman overall
#3255
Defenseman born in 2004
#5479
in NAHL

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota (0.06 D1 FR PPG)
0.05 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Topher Flanagan
Amherst · 2011-12
0.389 Average
actual D2/3 PPG
Tyler Lyon
SUNY Oswego · 2005-06
0.333 Developing
actual D2/3 PPG
Joe Papa
Saint John's · 2018-19
0.000 No data
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.