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Brandon Holt Elite Prospects ↗

Position: Defense DOB: 2001-04-30 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 New Mexico Ice Wolves NAHL 50 2 12 14 0.280 0.1109 0.1109 0.2940 0.2940
2020-21 New Mexico Ice Wolves NAHL 53 6 16 22 0.415 0.1645 0.1645 0.4358 0.4358
2021-22 New Mexico Ice Wolves NAHL 57 13 22 35 0.614 0.2433 0.2294 0.6446 0.6077
■ 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 Maine D1 HockeyEast SR 35 6 26 32 0.914
2024-25 Maine D1 HockeyEast JR 34 4 16 20 0.588
2023-24 Maine D1 HockeyEast SO 33 4 11 15 0.455
2022-23 Maine D1 HockeyEast FR 24 4 7 11 0.458
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.46
2022-23 · Maine
+111.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
12%
NCAA D2/D3
55%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#7403
Defenseman overall
#1586
Defenseman born in 2001
#2728
in NAHL

D1 Comparables

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
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
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG

D2/3 Comparables

Dakota Zarudny
SUNY Geneseo · 2021-22
0.727 Strong
actual D2/3 PPG
Brendan Dicker
Arcadia · 2021-22
0.542 Average
actual D2/3 PPG
Dakota Ulmer
Bryn Athyn · 2016-17
0.538 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.