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Tyler Paquette Elite Prospects ↗

Position: Forward DOB: 2001-03-18 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
2017-18 Des Moines Buccaneers USHL 44 3 3 6 0.136 0.0805 0.0884 0.4093 0.4495
2018-19 Des Moines Buccaneers USHL 57 6 9 15 0.263 0.1553 0.1625 0.7898 0.8266
2019-20 Green Bay Gamblers USHL 46 11 12 23 0.500 0.2949 0.2949 1.5004 1.5004
■ 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 Penn State D1 BigTen GR 38 3 5 8 0.210
2023-24 Penn State D1 BigTen SR 27 6 3 9 0.333
2022-23 Penn State D1 BigTen JR 36 7 8 15 0.417
2021-22 Penn State D1 BigTen SO 36 11 4 15 0.417
2020-21 Penn State D1 BigTen FR 6 0 1 1 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.17
2020-21 · Penn State
+46.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
0%
NCAA D2/D3
62%
Pro / Other

NCAAe Rankings

#27237
Forward overall
#1424
Forward born in 2001
#2794
in USHL

D1 Comparables

John Wiitala
USHL · 2012-13 · 0.22 PPG
→ Ohio State (0.56 D1 FR PPG)
0.13 Strong
NCAAe PPG
Drew Callin
USHL · 2012-13 · 0.24 PPG
→ Bentley (0.34 D1 FR PPG)
0.15 Developing
NCAAe PPG
Riley Alferd
USHL · 2012-13 · 0.20 PPG
→ Nebraska Omaha (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG
Alex Talcott
USHL · 2012-13 · 0.29 PPG
→ Michigan
0.18 No data
NCAAe PPG
Kiefer Sherwood
USHL · 2012-13 · 0.18 PPG
→ Miami (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG

D2/3 Comparables

Hunter Schneider
Wisconsin-River Falls · 2012-13
0.600 Average
actual D2/3 PPG
Benjamin Meisinger
Framingham State · 2017-18
1.000 Elite
actual D2/3 PPG
Dom Murphy
University of New England · 2021-22
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.