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Tyler Lisieski Elite Prospects ↗

Position: Defense DOB: 1999-04-20 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
2018-19 Vermont Lumberjacks EHL 38 4 15 19 0.500 0.1073 0.1070 0.2449 0.2443
2019-20 Vermont Lumberjacks EHL 45 1 14 15 0.333 0.0715 0.0715 0.1632 0.1632
■ 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
2023-24 SUNY Potsdam D3 SUNYAC JR 23 0 2 2 0.087
2022-23 SUNY Potsdam D3 SUNYAC SO 4 0 0 0 0.000
2021-22 SUNY Potsdam D3 SUNYAC FR 6 0 2 2 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.33
2021-22 · SUNY Potsdam
+230.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D2/D3
0%
Club / ACHA
42%
Other

NCAAe Rankings

#14339
Defenseman overall
#2053
Defenseman born in 1999
#1408
in EHL

D1 Comparables

Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.14 Average D
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Ryan Nick
NAHL · 2012-13 · 0.43 PPG
→ Army (0.14 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.14 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.09 No data
NCAAe PPG

D2/3 Comparables

Joe Deveny
Canton · 2013-14
0.450 Average
actual D2/3 PPG
Bradley Pung
St. Norbert · 2013-14
0.567 Average
actual D2/3 PPG
Jordan Guiney
Concordia Wisconsin · 2018-19
0.524 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.