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Ryan Lieth Elite Prospects ↗

Position: Defense DOB: 1998-10-08 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
2017-18 New York Apple Core EHL 37 6 11 17 0.460 0.1061 0.1083 0.2248 0.2295
2018-19 New York Apple Core EHL 44 6 14 20 0.455 0.1050 0.1019 0.2224 0.2159
■ 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
2022-23 SUNY Potsdam D3 SUNYAC SR 22 3 13 16 0.727
2021-22 SUNY Potsdam D3 SUNYAC JR 16 0 2 2 0.125
2019-20 Potsdam D1 — FR 24 2 9 11 0.458
2019-20 SUNY Potsdam D3 SUNYAC FR 24 2 9 11 0.458
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.46
2019-20 · Potsdam
+364.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#9913
Defenseman overall
#1767
Defenseman born in 1998
#1263
in EHL

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG

D2/3 Comparables

Zach Tyson
Hobart · 2017-18
0.871 Strong
actual D2/3 PPG
Cody Dixon
UMass Boston · 2012-13
0.296 Developing
actual D2/3 PPG
Jon Marzec
Wisconsin-Stout · 2016-17
0.316 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.