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Nate Terski Elite Prospects ↗

Position: Defense DOB: 2002-06-23 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
2019-20 Tabor NE-Prep 27 0 3 3 0.111 0.0214 0.0214 0.0508 0.0508
2021-22 Utica Jr. Comets NCDC 39 3 11 14 0.359 0.0830 0.0827 — —
2022-23 Boston Advantage NCDC 46 3 5 8 0.174 0.0402 0.0384 0.1406 0.1342
■ 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 Wilkes D3 MAC GR 26 4 11 15 0.577
2024-25 Wilkes D3 MAC SR 27 1 6 7 0.259
2023-24 Wilkes D3 MAC JR 23 0 6 6 0.261
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.26
2023-24 · Wilkes
+392.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#14811
Defenseman overall
#2748
Defenseman born in 2002

D1 Comparables

William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG

D2/3 Comparables

Riley Hughes
Adrian · 2007-08
0.286 Developing
actual D2/3 PPG
Theodore Austin
Plymouth State · 2018-19
0.385 Average
actual D2/3 PPG
Cole Essig
Lawrence · 2016-17
0.000 No data
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.