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Macklin Yelle Elite Prospects ↗

Position: Forward DOB: 2005-01-04 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
2022-23 Andover USHS-MN 31 4 9 13 0.419 0.0531 0.0531 0.1019 0.1019
2023-24 Wisconsin Woodsmen NA3HL 27 4 11 15 0.556 0.0697 0.0709 0.1754 0.1784
■ 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 — — 28 5 7 12 0.429
2024-25 University of Kentucky ACHA_D1 — — 28 5 7 12 0.429
2023-24 University of Kentucky ACHA_D1 — — 28 5 7 12 0.429
2022-23 University of Kentucky ACHA_D1 — — 28 5 7 12 0.429
2021-22 University of Kentucky ACHA_D1 — — 28 5 7 12 0.429
2020-21 University of Kentucky ACHA_D1 — — 28 5 7 12 0.429

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D2/D3
2%
Club / ACHA
52%
Other

NCAAe Rankings

#42360
Forward overall
#2732
Forward born in 2005

D1 Comparables

Tim Lappin
USHL · 2012-13 · 0.24 PPG
→ Brown (0.50 D1 FR PPG)
0.14 Average
NCAAe PPG
Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.13 No data
NCAAe PPG
Seth Adams
USHL · 2012-13 · 0.26 PPG
→ Ferris State (0.14 D1 FR PPG)
0.15 Developing
NCAAe PPG
David Parrottino
USHL · 2012-13 · 0.14 PPG
→ Canisius
0.08 No data
NCAAe PPG
Canon Pieper
USHL · 2012-13 · 0.28 PPG
→ Quinnipiac (0.08 D1 FR PPG)
0.16 Developing
NCAAe PPG

D2/3 Comparables

Cole Bowditch
Castleton · 2022-23
0.538 Average
actual D2/3 PPG
Andrew Fisher
Wisconsin-Superior · 2005-06
0.214 Developing
actual D2/3 PPG
Eddie Matsushima
Wisconsin-River Falls · 2012-13
0.536 Average
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.