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David Hymovitch Elite Prospects ↗

Position: Forward DOB: 2003-08-14 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
2019-20 Sioux City Musketeers USHL 2 0 0 0 0.000 — — — —
2020-21 Muskegon Lumberjacks USHL 31 4 6 10 0.323 0.1983 0.1983 0.9504 0.9504
2021-22 Muskegon Lumberjacks USHL 50 6 13 19 0.380 0.2336 0.2374 1.1196 1.1379
2022-23 Muskegon Lumberjacks USHL 41 8 12 20 0.488 0.2999 0.2892 1.4372 1.3860
■ 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 Holy Cross D1 AHA JR 31 4 4 8 0.258
2024-25 Arizona State D1 NCHC — 23 2 3 5 0.217
2023-24 Arizona State D1 NCHC — 2 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D1
12%
NCAA D2/D3
28%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#20455
Forward overall
#1060
Forward born in 2003
#2047
in USHL

D1 Comparables

Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.26 Developing
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.33 Average
NCAAe PPG
Judd Peterson
USHL · 2012-13 · 0.57 PPG
→ St. Cloud State (0.19 D1 FR PPG)
0.34 Developing
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG
Thomas Forgione
USHL · 2012-13 · 0.70 PPG
→ Vermont (0.21 D1 FR PPG)
0.42 Developing
NCAAe PPG

D2/3 Comparables

Brady Lindauer
Saint Mary's (MN) · 2018-19
0.476 Average
actual D2/3 PPG
Alex Botten
SUNY Oswego · 2011-12
1.133 Elite
actual D2/3 PPG
Mickey Gilchrist
Middlebury · 2003-04
1.000 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.