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Brett Pfoh Elite Prospects ↗

Position: Forward DOB: 2002-01-22 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
2018-19 — BCHL 3 0 0 0 0.000 — — — —
2019-20 — BCHL 44 6 3 9 0.204 0.0762 0.0762 0.2980 0.2980
2020-21 Spruce Grove Saints AJHL 16 7 2 9 0.562 0.1866 0.1866 0.5213 0.5213
2021-22 Spruce Grove Saints AJHL 55 27 47 74 1.345 0.4464 0.4274 1.2470 1.1940
■ 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
2025-26 Bowling Green D1 CCHA SR 24 6 5 11 0.458
2024-25 Bowling Green D1 CCHA JR 32 5 13 18 0.562
2023-24 Bowling Green D1 CCHA SO 34 9 6 15 0.441
2022-23 Bowling Green D1 CCHA FR 24 2 3 5 0.208
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.37
before college
→
Actual FR PPG
0.21
2022-23 · Bowling Green
-43.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
0%
NCAA D2/D3
30%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#17712
Forward overall
#943
Forward born in 2002

D1 Comparables

Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.43 Strong
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.46 Average
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.37 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG

D2/3 Comparables

Marlon Gardner
Neumann · 2006-07
1.067 Elite
actual D2/3 PPG
Josh Maucieri
St. Thomas · 2018-19
0.800 Strong
actual D2/3 PPG
Jeremy Dawes
St. Scholastica · 2006-07
1.036 Elite
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.