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Reese Laubach Elite Prospects ↗

Position: Forward DOB: 2003-11-20 Country: USA
2022 · Round 7, Pick #217  ·  San Jose Sharks San Jose Sharks
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
2021-22 — USHL 2 0 0 0 0.000 — — — —
2022-23 — USHL 50 11 13 24 0.480 0.2832 0.2769 1.4416 1.4096
■ 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 Penn State D1 BigTen JR 37 12 16 28 0.757
2024-25 Penn State D1 BigTen JR 35 15 15 30 0.857
2023-24 Penn State D1 BigTen SO 35 10 12 22 0.629
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.63
2023-24 · Penn State
+165.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

70%
NCAA D1
5%
NCAA D2/D3
5%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#16574
Forward overall
#822
Forward born in 2003
#1600
in USHL

D1 Comparables

A.J. Fossen
USHL · 2012-13 · 0.55 PPG
→ Clarkson (0.32 D1 FR PPG)
0.31 Developing
NCAAe PPG
Grant Opperman
USHL · 2012-13 · 0.56 PPG
→ Dartmouth (0.61 D1 FR PPG)
0.32 Strong
NCAAe PPG
Kenny Gillespie
USHL · 2012-13 · 0.37 PPG
→ RPI (0.20 D1 FR PPG)
0.21 Developing
NCAAe PPG
Peter Krieger
NAHL · 2012-13 · 0.92 PPG
→ Alaska Fairbanks (0.39 D1 FR PPG)
0.34 Average
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG

D2/3 Comparables

Jack Billings
Salve Regina · 2014-15
1.381 Elite
actual D2/3 PPG
Ryan Bloom
University of New England · 2011-12
1.654 Elite
actual D2/3 PPG
Nicholas Stevens
Wisconsin-Stout · 2020-21
0.826 Strong
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.