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Brandon Kirk Elite Prospects ↗

Position: Defense DOB: 1992-11-24 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
2011-12 Green Bay Gamblers USHL 53 2 10 12 0.226 0.1442 0.1412 0.6785 0.6642
2012-13 Green Bay Gamblers USHL 41 4 9 13 0.317 0.2019 0.1869 0.9503 0.8797
■ 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
2014-15 Dartmouth D1 ECAC SO 12 0 2 2 0.167
2013-14 Dartmouth D1 ECAC FR 18 0 0 0 0.000

NCAAe Rankings

#5227
Defenseman overall
#1006
Defenseman born in 1992
#3082
in USHL

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.14 Developing D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green (0.49 D1 FR PPG)
0.24 Strong D
NCAAe PPG
Garret Peterson
NAHL · 2012-13 · 0.35 PPG
→ Army (0.07 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Dylan Zink
NAHL · 2012-13 · 0.62 PPG
→ UMass Lowell (0.04 D1 FR PPG)
0.22 Developing D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.16 No data
NCAAe PPG

D2/3 Comparables

Patrick Jobb
SUNY Plattsburgh · 2008-09
0.556 Average
actual D2/3 PPG
Mike Collins
Elmira · 2011-12
1.000 Elite
actual D2/3 PPG
Jory McWilliams
Bethel · 2017-18
0.000 No data
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.