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Karson Glass Elite Prospects ↗

Position: Forward DOB: 2004-07-13 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 Islanders Hockey Club USPHL-Elite 40 15 26 41 1.025 0.0946 0.0944 0.2347 0.2342
■ 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 University of Oklahoma ACHA_D1 — — 28 1 3 4 0.143
2024-25 University of Oklahoma ACHA_D1 — — 28 1 3 4 0.143
2023-24 University of Oklahoma ACHA_D1 — — 28 1 3 4 0.143
2022-23 University of Oklahoma ACHA_D1 — — 28 1 3 4 0.143
2021-22 University of Oklahoma ACHA_D1 — — 28 1 3 4 0.143
2020-21 University of Oklahoma ACHA_D1 — — 28 1 3 4 0.143

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
62%
Other

NCAAe Rankings

#31546
Forward overall
#1883
Forward born in 2004
#141
in USPHL-Elite

D1 Comparables

Jason Ford
USHL · 2012-13 · 0.20 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG
Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG
Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.17 Developing
NCAAe PPG
Nikolas Olsson
USHL · 2012-13 · 0.39 PPG
→ Boston University (0.35 D1 FR PPG)
0.23 Average
NCAAe PPG

D2/3 Comparables

Roman Uchyn
St. Norbert · 2012-13
0.690 Strong
actual D2/3 PPG
Tommy Green
King's · 2002-03
0.200 Developing
actual D2/3 PPG
Brendan Ferguson
Milwaukee School of Engineering · 2015-16
0.333 Developing
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.