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Mason Moore Elite Prospects ↗

Position: Forward DOB: 2004-11-09 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
2021-22 Hershey Cubs USPHL-Premier 17 3 3 6 0.353 0.0462 0.0512 0.1198 0.1327
2022-23 Connecticut Jr. Rangers NCDC 7 0 1 1 0.143 0.0583 0.0626 0.1149 0.1234
2023-24 Connecticut Jr. Rangers NCDC 33 6 9 15 0.455 0.1853 0.1885 0.3653 0.3715
2024-25 Connecticut Jr. Rangers NCDC 50 4 9 13 0.260 0.1060 0.1031 0.2090 0.2033
■ 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 — — 29 10 11 21 0.724
2024-25 Delaware ACHA_D1 — — 29 10 11 21 0.724
2023-24 Delaware ACHA_D1 — — 29 10 11 21 0.724
2022-23 Delaware ACHA_D1 — — 29 10 11 21 0.724
2021-22 Delaware ACHA_D1 — — 29 10 11 21 0.724
2020-21 Delaware ACHA_D1 — — 29 10 11 21 0.724

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#30422
Forward overall
#1809
Forward born in 2004

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
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
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG

D2/3 Comparables

Brendan Galley
Worcester State · 2009-10
0.615 Average
actual D2/3 PPG
Anthony Bax
Utica · 2023-24
0.433 Average
actual D2/3 PPG
Justin Paré
Alvernia · 2023-24
0.538 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.