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David Andreychuk Elite Prospects ↗

Position: Forward DOB: 2002-04-02 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 Frederick Gunn NE-Prep 31 2 9 11 0.355 0.0703 0.0703 0.1616 0.1616
2019-20 Frederick Gunn NE-Prep 35 13 27 40 1.143 0.2264 0.2264 0.5207 0.5207
2020-21 — NAHL 41 10 15 25 0.610 0.2240 0.2240 0.6436 0.6436
2021-22 Northeast Generals NAHL 49 19 36 55 1.122 0.4124 0.4078 1.1847 1.1715
2022-23 Northeast Generals NAHL 60 18 57 75 1.250 0.4592 0.4315 1.3194 1.2399
■ 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 Yale D1 ECAC JR 30 6 8 14 0.467
2024-25 Yale D1 ECAC SR 27 1 3 4 0.148
2023-24 Yale D1 ECAC JR 30 3 9 12 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.36
before college
→
Actual FR PPG
0.40
2023-24 · Yale
+10.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
2%
NCAA D2/D3
38%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#8033
Forward overall
#375
Forward born in 2002

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

D2/3 Comparables

Chris Berry
Wisconsin-Superior · 2005-06
1.111 Elite
actual D2/3 PPG
Stuart Stefan
Castleton · 2006-07
1.000 Elite
actual D2/3 PPG
Tyler Seltenreich
University of New England · 2016-17
1.207 Elite
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.