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Wyatt Schlaht Elite Prospects ↗

Position: Forward DOB: 2000-06-04 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 Lincoln Stars USHL 51 2 3 5 0.098 0.0578 0.0582 0.2943 0.2965
2019-20 Surrey Eagles BCHL 58 10 13 23 0.397 0.1528 0.1528 0.5772 0.5772
■ 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
2024-25 Brown D1 ECAC SR 11 0 0 0 0.000
2023-24 Brown D1 ECAC JR 10 1 0 1 0.100
2022-23 Brown D1 ECAC SO 16 0 1 1 0.062
2021-22 Brown D1 ECAC FR 28 0 3 3 0.107
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.11
2021-22 · Brown
+115.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D1
5%
NCAA D2/D3
88%
Pro / Other

NCAAe Rankings

#44390
Forward overall
#2490
Forward born in 2000

D1 Comparables

Jason Ford
USHL · 2012-13 · 0.20 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG
Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.17 Developing
NCAAe PPG
Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG
Ryan McMurphy
USHL · 2012-13 · 0.14 PPG
→ Bentley (0.39 D1 FR PPG)
0.08 Average
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG

D2/3 Comparables

Nikita Sobolev
New England College · 2022-23
0.000 No data
actual D2/3 PPG
Matt Fitzgibbons
Utica · 2007-08
0.696 Strong
actual D2/3 PPG
Riley Meyer
Hamline · 2015-16
0.000 No data
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.