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Cody Mastay Elite Prospects ↗

Position: Forward DOB: 2001-07-16 Country: USA
No commitment set

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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
2020-21 Metro Jets USPHL-Premier 35 14 24 38 1.086 0.1461 0.1461 0.3696 0.3696
2021-22 Metro Jets USPHL-Premier 43 16 33 49 1.139 0.1534 0.1445 0.3879 0.3655
■ 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 Arcadia D3 MAC SR 25 2 11 13 0.520
2024-25 Arcadia D3 MAC JR 25 8 2 10 0.400
2023-24 Arcadia D3 MAC SO 24 4 2 6 0.250
2022-23 Arcadia D3 MAC FR 21 4 3 7 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.33
2022-23 · Arcadia
+169.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#27608
Forward overall
#1089
Forward born in 2001
#648
in USPHL-Premier

D1 Comparables

Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG

D2/3 Comparables

Ayrton Valente
SUNY Plattsburgh · 2013-14
0.542 Average
actual D2/3 PPG
Tim Crowley
SUNY Brockport · 2004-05
0.440 Average
actual D2/3 PPG
Michael Hollander
Becker · 2009-10
0.467 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.