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Bradley Tierney Elite Prospects ↗

Position: Forward DOB: 1988-12-10 Country: Canada
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 Drayton Valley Thunder AJHL 1 0 0 0 0.000 — — — —
2006-07 — AJHL 22 1 2 3 0.136 0.0456 0.0481 0.1266 0.1336
2007-08 St. Albert Steel AJHL 57 12 23 35 0.614 0.2051 0.2051 0.5700 0.5699
2008-09 St. Albert Steel AJHL 58 13 23 36 0.621 0.2073 0.1987 0.5762 0.5522
■ 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
2012-13 Milwaukee School of Engineering D3 — SR 29 13 16 29 1.000
2011-12 Milwaukee School of Engineering D3 — JR 22 11 12 23 1.046
2010-11 Milwaukee School of Engineering D3 — SO 25 8 19 27 1.080
2009-10 Milwaukee School of Engineering D3 — FR 27 9 17 26 0.963
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.96
2009-10 · Milwaukee School of Engineering
+458.9% vs. projection

NCAAe Rankings

#24395
Forward overall
#999
Forward born in 1988
#1324
in AJHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Nick DeCenzo
NAHL · 2012-13 · 0.43 PPG
→ Army (0.32 D1 FR PPG)
0.16 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Evan Ritt
NAHL · 2012-13 · 0.67 PPG
→ Denver
0.24 No data
NCAAe PPG

D2/3 Comparables

Patrick Gazich
Gustavus Adolphus · 2016-17
0.500 Average
actual D2/3 PPG
Brandon Laidlaw
Utica · 2004-05
0.762 Strong
actual D2/3 PPG
Brendan Young
SUNY Plattsburgh · 2018-19
0.423 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.