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Skylur Jameson Elite Prospects ↗

Position: Forward DOB: 1987-02-27 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
2004-05 Wichita Falls Wildcats NAHL 54 10 11 21 0.389 0.1429 0.1523 0.4105 0.4374
2005-06 Wichita Falls Wildcats NAHL 58 12 10 22 0.379 0.1394 0.1416 0.4004 0.4068
2006-07 Wichita Falls Wildcats NAHL 61 18 18 36 0.590 0.2168 0.2096 0.6230 0.6023
2007-08 Wichita Falls Wildcats NAHL 58 23 33 56 0.966 0.3547 0.3255 1.0191 0.9351
■ 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
2011-12 Wentworth D3 CNE SR 29 10 23 33 1.138
2010-11 Wentworth D3 CNE JR 25 20 15 35 1.400
2009-10 Wentworth D3 CNE SO 26 18 25 43 1.654
2008-09 Wentworth D3 CNE FR 27 19 29 48 1.778
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
1.78
2008-09 · Wentworth
+644.2% vs. projection

NCAAe Rankings

#17308
Forward overall
#594
Forward born in 1987
#967
in NAHL

D1 Comparables

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
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Eric Bolden
Elmira · 2016-17
1.000 Elite
actual D2/3 PPG
Ben Schmidling
St. Norbert · 2018-19
0.833 Strong
actual D2/3 PPG
Kevin Valenti
Utica · 2013-14
0.538 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.