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Clayton Boyd Elite Prospects ↗

Position: Forward DOB: 1996-11-15 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 Florida Eels USPHL-Elite 9 0 1 1 0.111 0.0103 0.0109 0.0254 0.0269
2015-16 Florida Eels USPHL-Elite 39 8 18 26 0.667 0.0615 0.0623 0.1527 0.1548
2016-17 Florida Eels USPHL-Elite 43 19 39 58 1.349 0.1245 0.1190 0.3089 0.2954
■ 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
2020-21 Neumann D1 MAC SR 9 3 1 4 0.444
2020-21 Neumann D3 MAC SR 9 3 1 4 0.444
2019-20 Neumann D1 MAC JR 26 4 7 11 0.423
2019-20 Neumann D3 MAC JR 26 4 7 11 0.423
2018-19 Neumann D1 MAC SO 25 4 7 11 0.440
2018-19 Neumann D3 MAC SO 25 4 7 11 0.440
2017-18 Neumann D3 MAC FR 26 2 10 12 0.462
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.46
2017-18 · Neumann
+460.1% vs. projection

NCAAe Rankings

#30300
Forward overall
#1272
Forward born in 1996
#122
in USPHL-Elite

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Jimmie Perkins
Bethel · 2010-11
0.458 Average
actual D2/3 PPG
Austin Clyne
Adrian · 2021-22
0.400 Average
actual D2/3 PPG
Malcolm Cardwell
Framingham State · 2017-18
0.000 No data
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.