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Patrick White Elite Prospects ↗

Position: Forward DOB: 1989-01-20 Country: USA
2007 · Round 1, Pick #25  ·  Vancouver Canucks Vancouver Canucks
Signed Professionally
HC Slovan Bratislava · KHL

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
2006-07 Tri-City Storm USHL 12 8 1 9 0.750 0.4424 0.4618 2.2526 2.3514
2014-15 HC Slovan Bratislava KHL 26 0 0 0 0.000 — — — —
■ 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 27 5 5 10 0.370
2009-10 Minnesota D1 BigTen JR 39 9 8 17 0.436
2008-09 Minnesota D1 BigTen SO 36 7 9 16 0.444
2007-08 Minnesota D1 BigTen FR 45 6 4 10 0.222
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.40
before college
→
Actual FR PPG
0.22
2007-08 · Minnesota
-43.8% vs. projection

NCAAe Rankings

#29999
Forward overall
#994
Forward born in 1989

D1 Comparables

Tyler Kelleher
USHL · 2012-13 · 0.73 PPG
→ New Hampshire (0.43 D1 FR PPG)
0.44 Average
NCAAe PPG
John Hayden
NTDP-U18 · 2012-13 · 0.64 PPG
→ Yale (0.48 D1 FR PPG)
0.46 Average
NCAAe PPG
Evan Allen
NTDP-U18 · 2012-13 · 0.72 PPG
→ Michigan (0.26 D1 FR PPG)
0.51 Developing
NCAAe PPG
Alex Roos
USHL · 2012-13 · 0.73 PPG
→ Colorado College (0.49 D1 FR PPG)
0.44 Average
NCAAe PPG
Tyler Motte
NTDP-U18 · 2012-13 · 0.67 PPG
→ Michigan (0.53 D1 FR PPG)
0.48 Average
NCAAe PPG

D2/3 Comparables

Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 Average
actual D2/3 PPG
Nick Ford
Elmira · 2014-15
0.800 Strong
actual D2/3 PPG
Ryan Reifler
Elmira · 2016-17
1.067 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.