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Brandon Turer Elite Prospects ↗

Position: Forward DOB: 1998-04-13 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
2017-18 East Coast Wizards EHL 40 6 20 26 0.650 0.1395 0.1390 0.3183 0.3172
■ 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
2021-22 Milwaukee School of Engineering D3 NCHA SR 19 0 1 1 0.053
2020-21 Milwaukee School of Engineering D3 — JR 19 3 1 4 0.210
2019-20 Milwaukee School of Engineering D3 — SO 20 2 7 9 0.450
2018-19 Milwaukee School of Engineering D3 — FR 21 4 3 7 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.33
2018-19 · Milwaukee School of Engineering
+180.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
0%
Club / ACHA
80%
Other

NCAAe Rankings

#29623
Forward overall
#1261
Forward born in 1998
#578
in EHL

D1 Comparables

Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.14 No data
NCAAe PPG
Mike Robinson
OHL · 2012-13 · 0.19 PPG
→ New Hampshire
0.11 No data
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG
Sami Salminen
NAHL · 2012-13 · 0.56 PPG
→ Northern Michigan (0.34 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ryan Dau
NAHL · 2012-13 · 0.41 PPG
→ Air Force (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG

D2/3 Comparables

Joseph Fiorino
Southern New Hampshire · 2017-18
0.593 Average
actual D2/3 PPG
Tyler Dunagan
Saint John's · 2012-13
0.522 Average
actual D2/3 PPG
Teagan Waugh
Manhattanville · 2011-12
0.407 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.