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Ryan Karbach Elite Prospects ↗

Position: Forward DOB: 2003-08-04 Country: USA
No commitment set

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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
2021-22 New Jersey 87's EHL 13 1 2 3 0.231 0.0338 0.0364 0.1130 0.1216
2022-23 New Jersey 87's EHL 42 5 3 8 0.191 0.0279 0.0286 0.0933 0.0956
2023-24 New Jersey 87's EHL 44 4 10 14 0.318 0.0466 0.0454 0.1559 0.1519
■ 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 Misericordia D3 MAC SO 15 2 3 5 0.333
2024-25 Misericordia D3 MAC — 20 5 3 8 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.03
before college
→
Actual FR PPG
0.40
2024-25 · Misericordia
+1108.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#48857
Forward overall
#3243
Forward born in 2003
#2281
in EHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

John Lennartson
Augsburg · 2007-08
0.423 Average
actual D2/3 PPG
Tom Terranova
SUNY Potsdam · 2017-18
0.261 Developing
actual D2/3 PPG
Thomas Crabtree
Canton · 2013-14
0.292 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.