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Andrew Andary Elite Prospects ↗

Position: Forward DOB: 1999-01-11 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
2017-18 Johnstown Tomahawks NAHL 45 6 6 12 0.267 0.0980 0.1000 0.2815 0.2872
2018-19 Islanders Hockey Club NCDC 48 7 17 24 0.500 0.2039 0.1977 0.4019 0.3898
■ 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 Anselm D2 NE10 SR 26 14 11 25 0.962
2021-22 Saint Anselm D2 NE10 JR 27 17 19 36 1.333
2020-21 Saint Anselm D2 NE10 SO 0 0 0 0 0.000
2019-20 Saint Anselm D1 NE10 FR 28 7 7 14 0.500
2019-20 Saint Anselm D2 NE10 FR 28 7 7 14 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.50
2019-20 · Saint Anselm
+268.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
0%
Club / ACHA
18%
Other

NCAAe Rankings

#24906
Forward overall
#1263
Forward born in 1999

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Jonah Copre
Lake Forest · 2022-23
0.000 No data
actual D2/3 PPG
Austin Langworthy
Bethel · 2016-17
0.400 Average
actual D2/3 PPG
Mac Jansen
Wisconsin-Eau Claire · 2012-13
0.409 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.