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Cody Milan Elite Prospects ↗

Position: Forward DOB: 1996-04-11 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
2012-13 Sioux Falls Stampede USHL 34 4 6 10 0.294 0.1735 0.1899 0.8833 0.9669
2013-14 — USHL 47 4 5 9 0.192 0.1130 0.1184 0.5752 0.6027
2014-15 Tri-City Storm USHL 60 11 15 26 0.433 0.2556 0.2553 1.3014 1.2997
■ 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 Michigan State D1 BigTen SR 36 7 13 20 0.556
2017-18 Michigan State D1 BigTen JR 33 6 15 21 0.636
2016-17 Michigan State D1 BigTen SO 24 1 4 5 0.208
2015-16 Michigan State D1 BigTen FR 29 2 5 7 0.241
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.24
2015-16 · Michigan State
+40.6% vs. projection

NCAAe Rankings

#28473
Forward overall
#1170
Forward born in 1996
#2697
in USHL

D1 Comparables

Max Coatta
USHL · 2012-13 · 0.50 PPG
→ Minnesota State (0.36 D1 FR PPG)
0.29 Average
NCAAe PPG
Jimmy DeVito
USHL · 2012-13 · 0.35 PPG
→ RPI (0.16 D1 FR PPG)
0.21 Developing
NCAAe PPG
Christian Lampasso
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.44 D1 FR PPG)
0.27 Average
NCAAe PPG
Jack Rowe
USHL · 2012-13 · 0.53 PPG
→ Arizona State (0.21 D1 FR PPG)
0.31 Developing
NCAAe PPG
Brian Morgan
USHL · 2012-13 · 0.53 PPG
→ Maine (0.35 D1 FR PPG)
0.31 Average
NCAAe PPG

D2/3 Comparables

Josh Hechter
Saint Anselm · 2000-01
1.375 Elite
actual D2/3 PPG
Ryan Busby
SUNY Plattsburgh · 2001-02
0.903 Strong
actual D2/3 PPG
Sam Ciappa
St. John Fisher · 2022-23
0.913 Strong
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.