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Trevor Boyd Elite Prospects ↗

Position: Forward DOB: 1994-12-19 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
2011-12 Kalamazoo Jr. K-Wings NAHL 47 9 4 13 0.277 0.1027 0.1148 0.2929 0.3275
2012-13 Kalamazoo Jr. K-Wings NAHL 48 7 8 15 0.312 0.1160 0.1239 0.3309 0.3533
2013-14 — NAHL 48 6 11 17 0.354 0.1315 0.1338 0.3750 0.3816
2014-15 Austin Bruins NAHL 57 26 24 50 0.877 0.3257 0.3143 0.9288 0.8964
■ 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
2018-19 Adrian D3 NCHA SR 29 13 10 23 0.793
2017-18 Adrian D3 NCHA JR 28 17 11 28 1.000
2016-17 Adrian D3 NCHA SO 29 19 17 36 1.241
2015-16 Adrian D3 NCHA FR 28 16 13 29 1.036
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
1.04
2015-16 · Adrian
+399.9% vs. projection

NCAAe Rankings

#18245
Forward overall
#742
Forward born in 1994
#1593
in NAHL

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Evan Ritt
NAHL · 2012-13 · 0.67 PPG
→ Denver
0.24 No data
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.31 Average
NCAAe PPG

D2/3 Comparables

Mitchell Herlihey
SUNY Oswego · 2013-14
1.080 Elite
actual D2/3 PPG
Grant Everett
Wisconsin-River Falls · 2007-08
0.708 Strong
actual D2/3 PPG
Alex Storjohann
SUNY Cortland · 2016-17
0.565 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.