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Jamie Bucell Elite Prospects ↗

Position: Forward DOB: 1996-02-15 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
2014-15 New Hampshire Jr. Monarchs USPHL-Elite 25 10 9 19 0.760 0.0701 0.0717 0.1740 0.1780
2015-16 Philadelphia Little Flyers EHL 41 9 4 13 0.317 0.0733 0.0725 0.1552 0.1536
2016-17 Philadelphia Little Flyers EHL 48 22 28 50 1.042 0.2406 0.2272 0.5097 0.4813
■ 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
2021-22 Utica D3 UCHC GR 29 5 13 18 0.621
2020-21 Utica D1 UCHC SR 10 8 7 15 1.500
2020-21 Utica D3 UCHC SR 10 8 7 15 1.500
2019-20 Utica D1 UCHC JR 21 3 4 7 0.333
2019-20 Utica D3 UCHC JR 21 3 4 7 0.333
2018-19 Utica D1 UCHC SO 22 5 6 11 0.500
2018-19 Utica D3 UCHC SO 22 5 6 11 0.500
2017-18 Utica D3 UCHC FR 16 2 2 4 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.25
2017-18 · Utica
+76.7% vs. projection

NCAAe Rankings

#23861
Forward overall
#954
Forward born in 1996

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Alex Walicki
Wentworth · 2023-24
0.500 Average
actual D2/3 PPG
Fabio Kläy
Castleton · 2014-15
0.762 Strong
actual D2/3 PPG
Steven Quagliata
Wisconsin-Stevens Point · 2016-17
0.577 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.