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Ty Patefield Elite Prospects ↗

Position: Forward DOB: 2004-12-09 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
2023-24 Tampa Bay Juniors USPHL-Premier 43 11 26 37 0.861 0.1126 0.1143 0.2921 0.2964
■ 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 University of Kentucky ACHA_D1 — — 20 5 12 17 0.850
2024-25 University of Kentucky ACHA_D1 — — 20 5 12 17 0.850
2023-24 University of Kentucky ACHA_D1 — — 20 5 12 17 0.850
2022-23 University of Kentucky ACHA_D1 — — 20 5 12 17 0.850
2021-22 University of Kentucky ACHA_D1 — — 20 5 12 17 0.850
2020-21 University of Kentucky ACHA_D1 — — 20 5 12 17 0.850

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
2%
Club / ACHA
30%
Other

NCAAe Rankings

#17659
Forward overall
#881
Forward born in 2004
#1107
in USPHL-Premier

D1 Comparables

Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.13 No data
NCAAe PPG
Canon Pieper
USHL · 2012-13 · 0.28 PPG
→ Quinnipiac (0.08 D1 FR PPG)
0.16 Developing
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Austin Vieth
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.28 D1 FR PPG)
0.18 Developing
NCAAe PPG
Tim Lappin
USHL · 2012-13 · 0.24 PPG
→ Brown (0.50 D1 FR PPG)
0.14 Average
NCAAe PPG

D2/3 Comparables

Joey Sardina
Lake Forest · 2015-16
0.593 Average
actual D2/3 PPG
Blake Kashark
UMass Dartmouth · 2022-23
0.400 Average
actual D2/3 PPG
Max Doner
Wisconsin-River Falls · 2015-16
0.250 Developing
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.