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Eric Pohlkamp Elite Prospects ↗

Position: Defense DOB: 2004-03-23 Country: USA
2023 · Round 5, Pick #132  ·  San Jose Sharks San Jose Sharks
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 Brainerd USHS-MN 26 11 13 24 0.923 0.1169 0.1169 0.2242 0.2242
2020-21 — NAHL 9 0 1 1 0.111 0.0408 0.0408 0.1173 0.1173
2021-22 — USHL 61 7 11 18 0.295 0.1741 0.1822 0.8863 0.9277
2022-23 — USHL 59 16 35 51 0.864 0.5099 0.5072 2.5961 2.5826
■ 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 Denver D1 NCHC JR 43 18 21 39 0.907
2024-25 Denver D1 NCHC — 44 11 24 35 0.795
2023-24 Bemidji State D1 CCHA — 32 11 13 24 0.750
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.36
before college
→
Actual FR PPG
0.75
2023-24 · Bemidji State
+110.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

80%
NCAA D1
0%
NCAA D2/D3
8%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

D1 Comparables

Matias Cleland
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.10 D1 FR PPG)
0.36 Developing D
NCAAe PPG
Ryan Lowney
USHL · 2012-13 · 0.65 PPG
→ Ferris State (0.35 D1 FR PPG)
0.37 Strong D
NCAAe PPG
Will Butcher
NTDP-U18 · 2012-13 · 0.55 PPG
→ Denver (0.42 D1 FR PPG)
0.39 Strong D
NCAAe PPG
Matt Nuttle
USHL · 2012-13 · 0.67 PPG
→ Cornell
0.41 No data
NCAAe PPG
Ian McCoshen
USHL · 2012-13 · 0.83 PPG
→ Boston College (0.37 D1 FR PPG)
0.52 Strong D
NCAAe PPG

D2/3 Comparables

Sascha Figi
Fitchburg State · 2016-17
1.429 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2023-24
1.120 Elite
actual D2/3 PPG
Ryan Reifler
Elmira · 2017-18
1.067 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.