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Brett Piper Elite Prospects ↗

Position: Forward DOB: 1998-09-12 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
2016-17 Dauphin Kings MJHL 51 5 6 11 0.216 0.0586 0.0613 0.1359 0.1423
2017-18 Dauphin Kings MJHL 13 1 1 2 0.154 0.0418 0.0417 0.0969 0.0967
■ 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
2022-23 Trine D3 NCHA SR 17 3 4 7 0.412
2021-22 Trine D3 NCHA JR 21 6 13 19 0.905
2020-21 Trine D1 — SO 11 2 2 4 0.364
2020-21 Trine D3 NCHA SO 11 2 2 4 0.364
2019-20 Trine D1 — FR 16 4 6 10 0.625
2019-20 Trine D3 NCHA FR 16 4 6 10 0.625
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.04
before college
→
Actual FR PPG
0.62
2019-20 · Trine
+1374.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D1
8%
NCAA D2/D3
85%
Pro / Other

NCAAe Rankings

#57702
Forward overall
#3255
Forward born in 1998
#2267
in MJHL

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.12 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.17 Developing
NCAAe PPG
Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.14 No data
NCAAe PPG

D2/3 Comparables

Jake Heckenberger
Bryn Athyn · 2017-18
0.478 Average
actual D2/3 PPG
Jackson Nauss
Wisconsin-River Falls · 2017-18
0.448 Average
actual D2/3 PPG
Nate Hansen
Wisconsin-River Falls · 2000-01
0.292 Developing
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.