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Trayce Johnson Elite Prospects ↗

Position: Defense DOB: 2003-07-03 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
2021-22 Maryland Black Bears NAHL 35 1 5 6 0.171 0.0609 0.0640 0.1800 0.1892
2022-23 Maryland Black Bears NAHL 57 1 9 10 0.175 0.0623 0.0624 0.1842 0.1846
2023-24 Maryland Black Bears NAHL 55 6 16 22 0.400 0.1421 0.1356 0.4200 0.4009
■ 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 Trine D3 NCHA SO 21 2 3 5 0.238
2024-25 Trine D3 NCHA — 15 0 1 1 0.067
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.07
2024-25 · Trine
-33.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
15%
NCAA D2/D3
55%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#15526
Defenseman overall
#2893
Defenseman born in 2003
#4940
in NAHL

D1 Comparables

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
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 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

Nick DeVito
SUNY Morrisville · 2015-16
0.600 Average
actual D2/3 PPG
Taylor Bourne
Fredonia · 2011-12
0.385 Average
actual D2/3 PPG
Kyle Rimbach
St. Olaf · 2015-16
0.250 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.