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Isaac Barrett Elite Prospects ↗

Position: Defense DOB: 2004-05-15 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
2020-21 Rochester Vipers USPHL-Premier 10 2 5 7 0.700 0.2307 0.2307 0.2381 0.2381
2021-22 — CCHL 32 2 17 19 0.594 0.1896 0.2031 0.4597 0.4925
2022-23 Smiths Falls Bears CCHL 25 0 9 9 0.360 0.1149 0.1180 0.2787 0.2861
2023-24 Milton Menace OJHL 31 2 17 19 0.613 0.1841 0.1779 0.4195 0.4054
2024-25 Elmira Aviators NAHL 9 0 1 1 0.111 0.0440 0.0416 0.1166 0.1102
■ 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 Utica D3 UCHC FR 2 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
10%
NCAA D2/D3
70%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#2576
Defenseman overall
#608
Defenseman born in 2004

D1 Comparables

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

D2/3 Comparables

Blake Norris
Wisconsin-Stevens Point · 2023-24
0.409 Average
actual D2/3 PPG
Kobe Keller
Wisconsin-Stout · 2018-19
0.333 Developing
actual D2/3 PPG
Austin Frank
Lawrence · 2013-14
0.222 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.