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Ryan Berglund Elite Prospects ↗

Position: Forward DOB: 2003-06-06 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
2019-20 Mahtomedi USHS-MN 30 13 10 23 0.767 0.2064 0.2064 0.1862 0.1862
2020-21 Mahtomedi USHS-MN 19 11 6 17 0.895 0.2409 0.2409 0.2173 0.2173
2022-23 Rochester Grizzlies NA3HL 32 8 18 26 0.812 0.1869 0.1843 — —
2023-24 — NAHL 14 1 2 3 0.214 0.0849 0.0807 0.2250 0.2139
■ 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 Saint Mary's (MN) D3 MIAC SO 26 4 11 15 0.577
2024-25 Saint Mary's (MN) D3 MIAC FR 22 1 5 6 0.273
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.27
2024-25 · Saint Mary's (MN)
+160.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
30%
NCAA D2/D3
52%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#36119
Forward overall
#2229
Forward born in 2003

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG

D2/3 Comparables

Brock Sawyer
Elmira · 2007-08
0.444 Average
actual D2/3 PPG
Braeden McKinnon
Anna Maria · 2021-22
0.864 Strong
actual D2/3 PPG
Lane Paddison
Manhattanville · 2021-22
0.440 Average
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.