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Auggie Moore Elite Prospects ↗

Position: Forward DOB: 1998-03-19 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
2014-15 Benilde-St. Margaret's School USHS-MN 25 2 6 8 0.320 0.0405 0.0406 0.0777 0.0778
2016-17 Philadelphia Rebels NAHL 30 7 7 14 0.467 0.1715 0.1765 0.4926 0.5068
2017-18 Philadelphia Rebels NAHL 58 13 13 26 0.448 0.1647 0.1613 0.4732 0.4635
2018-19 Philadelphia Rebels NAHL 59 9 16 25 0.424 0.1557 0.1455 0.4472 0.4180
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
2022-23 Saint John's D3 MIAC SR 26 8 16 24 0.923
2021-22 Saint John's D3 MIAC JR 27 15 13 28 1.037
2020-21 Saint John's D3 MIAC SO 10 5 8 13 1.300
2019-20 Saint John's D3 MIAC FR 25 11 16 27 1.080
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
Actual FR PPG
1.08
2019-20 · Saint John's
+730.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
5%
NCAA D2/D3
65%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#31972
Forward overall
#1592
Forward born in 1998

D1 Comparables

USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

SUNY Cortland · 2014-15
0.360 Average
actual D2/3 PPG
Aurora · 2021-22
0.517 Average
actual D2/3 PPG
Albertus Magnus · 2021-22
0.400 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.