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Jextinian Sheffield Elite Prospects ↗

Position: Forward DOB: 2003-08-29 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
2021-22 Connecticut Jr. Rangers NCDC 43 2 5 7 0.163 0.0376 0.0397 0.1316 0.1389
2022-23 Connecticut Jr. Rangers NCDC 50 12 15 27 0.540 0.1248 0.1265 0.4366 0.4426
2023-24 Connecticut Jr. Rangers NCDC 39 8 17 25 0.641 0.1481 0.1417 0.5183 0.4961
■ 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 Lawrence D3 NCHA — 0 0 0 0 0.000
2024-25 Lawrence D3 NCHA — 13 1 0 1 0.077
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.08
2024-25 · Lawrence
-33.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D2/D3
8%
Club / ACHA
0%
Other

NCAAe Rankings

#17769
Forward overall
#894
Forward born in 2003
#525
in NCDC

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Connor Hogg
Concordia (WI) · 2014-15
0.560 Average
actual D2/3 PPG
Greg Diamond
SUNY Geneseo · 2024-25
0.518 Average
actual D2/3 PPG
Josh Timpano
SUNY Oswego · 2012-13
0.500 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.