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Jack Moore Elite Prospects ↗

Position: Forward DOB: 2000-06-19 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
2018-19 New Hampshire Jr. Monarchs USPHL-Premier 17 7 6 13 0.765 0.1000 0.1035 0.2595 0.2687
2019-20 Philadelphia Rebels NAHL 16 1 2 3 0.188 0.0689 0.0689 0.1979 0.1979
2020-21 Boston Jr. Rangers EHL 35 12 23 35 1.000 0.2310 0.2310 0.4893 0.4893
■ 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
2024-25 Bowdoin D3 NESCAC SR 24 3 5 8 0.333
2023-24 Bowdoin D3 NESCAC JR 10 0 0 0 0.000
2022-23 Bowdoin D3 NESCAC SO 8 0 1 1 0.125
2021-22 Bowdoin D3 NESCAC FR 9 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
0%
Club / ACHA
85%
Other

NCAAe Rankings

#22700
Forward overall
#1058
Forward born in 2000

D1 Comparables

Jason Ford
USHL · 2012-13 · 0.20 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG
Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG
Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.17 Developing
NCAAe PPG
Nikolas Olsson
USHL · 2012-13 · 0.39 PPG
→ Boston University (0.35 D1 FR PPG)
0.23 Average
NCAAe PPG

D2/3 Comparables

Josh Merson
Utica · 2002-03
0.500 Average
actual D2/3 PPG
Adam Czarnecki
Milwaukee School of Engineering · 2015-16
0.300 Developing
actual D2/3 PPG
Nick Solema
Misericordia · 2018-19
0.273 Developing
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.