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Cody Dias Elite Prospects ↗

Position: Forward DOB: 2001-06-06 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
2019-20 Granite City Lumberjacks NA3HL 42 12 14 26 0.619 0.0685 0.0685 0.1961 0.1961
2020-21 Granite City Lumberjacks NA3HL 37 9 13 22 0.595 0.0658 0.0658 0.1884 0.1884
2021-22 Granite City Lumberjacks NA3HL 42 8 17 25 0.595 0.0658 0.0613 0.1886 0.1756
■ 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 Delaware ACHA_D1 — — 36 10 11 21 0.583
2024-25 Delaware ACHA_D1 — — 36 10 11 21 0.583
2023-24 Delaware ACHA_D1 — — 36 10 11 21 0.583
2022-23 Delaware ACHA_D1 — — 36 10 11 21 0.583
2021-22 Delaware ACHA_D1 — — 36 10 11 21 0.583
2020-21 Delaware ACHA_D1 — — 36 10 11 21 0.583

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#38847
Forward overall
#2146
Forward born in 2001
#1928
in NA3HL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
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

Peter Mott
SUNY Geneseo · 2010-11
0.273 Developing
actual D2/3 PPG
Connor Kelly
Saint John's · 2014-15
0.400 Average
actual D2/3 PPG
Luke Jordan
UMass Dartmouth · 2022-23
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.