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Nicholas Townsend Elite Prospects ↗

Position: Defense DOB: 2004-07-25 Country: Canada
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
2021-22 Mississauga Chargers OJHL 47 0 2 2 0.043 0.0104 0.0112 0.0292 0.0315
2022-23 Mississauga Chargers OJHL 52 1 8 9 0.173 0.0424 0.0436 0.1185 0.1218
2023-24 — OJHL 43 1 11 12 0.279 0.0684 0.0668 0.1910 0.1864
2024-25 — OJHL 52 2 11 13 0.250 0.0613 0.0567 0.1711 0.1582
■ 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 Lawrence D3 NCHA — 14 0 2 2 0.143
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.14
2025-26 · Lawrence
+149.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
12%
NCAA D2/D3
65%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#21664
Defenseman overall
#3649
Defenseman born in 2004
#4124
in OJHL

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
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Kyle Hartman
SUNY Geneseo · 2016-17
0.375 Average
actual D2/3 PPG
Tyler Watungwa
Finlandia · 2017-18
0.250 Developing
actual D2/3 PPG
Hunter Garlasco
Babson · 2017-18
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.