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Patrick Schmiedlin Elite Prospects ↗

Position: Forward DOB: 2002-03-20 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 Des Moines Buccaneers USHL 60 5 0 5 0.083 0.0491 0.0539 0.2502 0.2744
2019-20 — USHL 44 6 5 11 0.250 0.1475 0.1475 0.7509 0.7509
2020-21 Omaha Lancers USHL 6 0 0 0 0.000 — — — —
2021-22 Maine Nordiques NAHL 44 14 14 28 0.636 0.2338 0.2308 — —
2022-23 Maine Nordiques NAHL 38 10 20 30 0.789 0.2901 0.2721 0.8333 0.7816
■ 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 Lindenwood D1 CCHA JR 6 0 0 0 0.000
2024-25 Lindenwood D1 CCHA — 14 5 4 9 0.643
2023-24 Lindenwood D1 CCHA — 24 2 3 5 0.208
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.21
2023-24 · Lindenwood
-4.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
22%
NCAA D2/D3
30%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#17920
Forward overall
#946
Forward born in 2002

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Jack Johnson
Saint John's · 2018-19
0.957 Strong
actual D2/3 PPG
Nick Zappia
SUNY Cortland · 2010-11
0.640 Average
actual D2/3 PPG
Dalton Jay
Westfield State · 2011-12
0.800 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.