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Justin Brandt Elite Prospects ↗

Position: Forward DOB: 1998-11-02 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
2014-15 Janesville Jets NAHL 2 0 0 0 0.000 — — — —
2015-16 — NAHL 10 1 3 4 0.400 0.1470 0.1638 0.4222 0.4705
2016-17 Utica Jr. Comets USPHL-Premier-Classic 15 7 7 14 0.933 0.2620 0.2832 0.7674 0.8295
2017-18 Austin Bruins NAHL 50 5 12 17 0.340 0.1249 0.1262 0.3589 0.3627
■ 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
2021-22 Tufts D3 NESCAC SR 22 6 13 19 0.864
2020-21 Tufts D3 NESCAC JR 0 0 0 0 0.000
2019-20 Tufts D1 NESCAC SO 23 5 13 18 0.783
2019-20 Tufts D3 NESCAC SO 23 5 13 18 0.783
2018-19 Tufts D1 NESCAC FR 19 3 6 9 0.474
2018-19 Tufts D3 NESCAC FR 19 3 6 9 0.474
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.47
2018-19 · Tufts
+192.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
2%
NCAA D2/D3
82%
Pro / Other

NCAAe Rankings

#31254
Forward overall
#1553
Forward born in 1998
#2888
in NAHL

D1 Comparables

Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.13 No data
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Canon Pieper
USHL · 2012-13 · 0.28 PPG
→ Quinnipiac (0.08 D1 FR PPG)
0.16 Developing
NCAAe PPG
Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG

D2/3 Comparables

Cam Shaheen
Hobart · 2013-14
0.579 Average
actual D2/3 PPG
Erik Cooper
St. Norbert · 2010-11
0.667 Strong
actual D2/3 PPG
Petr Miko
Nichols · 2016-17
0.346 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.