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Jay Barriball Elite Prospects ↗

Position: Forward DOB: 1987-05-27 Country: USA
2006 · Round 7, Pick #203  ·  San Jose Sharks San Jose Sharks
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
2005-06 Sioux Falls Stampede USHL 13 5 7 12 0.923 0.5445 0.5514 2.7724 2.8073
■ 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
2010-11 Minnesota D1 WCHA-orig SR 30 12 16 28 0.933
2009-10 Minnesota D1 BigTen SR 5 2 2 4 0.800
2008-09 Minnesota D1 BigTen JR 34 11 23 34 1.000
2007-08 Minnesota D1 BigTen SO 41 6 15 21 0.512
2006-07 Minnesota D1 BigTen FR 44 20 23 43 0.977
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.51
before college
→
Actual FR PPG
0.98
2006-07 · Minnesota
+90.4% vs. projection

NCAAe Rankings

#4484
Forward overall
#173
Forward born in 1987
#178
in USHL

D1 Comparables

Sheldon Dries
USHL · 2012-13 · 0.91 PPG
→ Western Michigan (0.18 D1 FR PPG)
0.53 Developing
NCAAe PPG
Austin Ortega
USHL · 2012-13 · 0.91 PPG
→ Nebraska Omaha (0.54 D1 FR PPG)
0.53 Average
NCAAe PPG
John Stevens
USHL · 2012-13 · 0.81 PPG
→ Northeastern (0.59 D1 FR PPG)
0.48 Strong
NCAAe PPG
Alex Kile
USHL · 2012-13 · 1.07 PPG
→ Michigan (0.21 D1 FR PPG)
0.64 Developing
NCAAe PPG
C.J. Suess
USHL · 2012-13 · 0.95 PPG
→ Minnesota (0.76 D1 FR PPG)
0.56 Strong
NCAAe PPG

D2/3 Comparables

Geordan Buffoline
University of New England · 2017-18
1.667 Elite
actual D2/3 PPG
Joona Juntunen
Saint Mary's (MN) · 2023-24
0.826 Strong
actual D2/3 PPG
Conor Landrigan
Utica · 2016-17
1.038 Elite
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.