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Bryce Ronewicz Elite Prospects ↗

Position: Defense DOB: 2005-07-20 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
2023-24 South Shore Kings USPHL-Premier 24 1 4 5 0.208 0.0272 0.0284 0.0707 0.0739
■ 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 Saginaw Valley State University ACHA_D1 — — 30 5 6 11 0.367
2024-25 Saginaw Valley State University ACHA_D1 — — 30 5 6 11 0.367
2023-24 Saginaw Valley State University ACHA_D1 — — 30 5 6 11 0.367
2022-23 Saginaw Valley State University ACHA_D1 — — 30 5 6 11 0.367
2021-22 Saginaw Valley State University ACHA_D1 — — 30 5 6 11 0.367
2020-21 Saginaw Valley State University ACHA_D1 — — 30 5 6 11 0.367

College Pathway Likelihood (based on 40 comparables)

2%
NCAA D2/D3
5%
Club / ACHA
68%
Other

NCAAe Rankings

#22504
Defenseman overall
#3721
Defenseman born in 2005
#5940
in USPHL-Premier

D1 Comparables

Zach Yoder
USHL · 2012-13 · 0.10 PPG
→ Air Force (0.31 D1 FR PPG)
0.06 Strong D
NCAAe PPG
Jake Bischoff
USHL · 2012-13 · 0.17 PPG
→ Minnesota (0.25 D1 FR PPG)
0.10 Average D
NCAAe PPG
Jimmy Mazza
USHL · 2012-13 · 0.17 PPG
→ Canisius (0.35 D1 FR PPG)
0.10 Strong D
NCAAe PPG
Doyle Somerby
USHL · 2012-13 · 0.20 PPG
→ Boston University (0.12 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Cutler Martin
USHL · 2012-13 · 0.27 PPG
→ Michigan (0.47 D1 FR PPG)
0.16 Strong D
NCAAe PPG

D2/3 Comparables

Alex Strand
Wisconsin-Eau Claire · 2013-14
0.440 Average
actual D2/3 PPG
Joel Pavey
Elmira · 2018-19
0.214 Developing
actual D2/3 PPG
Logan Kons
Augsburg · 2017-18
0.800 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.