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Brandon Longley Elite Prospects ↗

Position: Defense DOB: 1984-09-08 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
2001-02 Green Bay Gamblers USHL 58 1 3 4 0.069 0.0424 0.0464 0.2033 0.2225
2002-03 Green Bay Gamblers USHL 60 6 17 23 0.383 0.2356 0.2432 1.1293 1.1659
2003-04 — USHL 52 6 21 27 0.519 0.3192 0.3127 1.5297 1.4987
■ 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 St. Norbert D3 NCHA SR 29 12 9 21 0.724
2009-10 St. Norbert D3 — JR 29 11 12 23 0.793
2008-09 St. Norbert D3 — SO 28 10 6 16 0.571
2007-08 St. Norbert D3 — FR 16 3 2 5 0.312
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.31
2007-08 · St. Norbert
+16.2% vs. projection

NCAAe Rankings

#5139
Defenseman overall
#675
Defenseman born in 1984
#2359
in USHL

D1 Comparables

Mike McKee
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.05 D1 FR PPG)
0.30 Developing D
NCAAe PPG
Ryan Murray
WHL · 2012-13 · 0.74 PPG
→ Hamline (0.28 D1 FR PPG)
0.35 Average D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
Niklas Nevalainen
USHL · 2012-13 · 0.55 PPG
→ St. Cloud State (0.23 D1 FR PPG)
0.32 Average D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.17 Developing D
NCAAe PPG

D2/3 Comparables

Mike Bickley
Wisconsin-Superior · 2000-01
1.231 Elite
actual D2/3 PPG
Johnny Panvica
St. Thomas · 2014-15
0.955 Strong
actual D2/3 PPG
Tanner Congdon
Bryn Athyn · 2016-17
0.857 Strong
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.