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Braedon Keel Elite Prospects ↗

Position: Forward DOB: 2003-02-01 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
2020-21 Perth-Andover Bearcats USPHL-Premier 41 9 8 17 0.415 0.0542 0.0542 0.1407 0.1407
2021-22 — USPHL-Premier 24 2 3 5 0.208 0.0272 0.0277 0.0707 0.0721
2022-23 — USPHL-Premier 42 1 4 5 0.119 0.0156 0.0151 0.0404 0.0392
2023-24 — USPHL-Premier 41 3 7 10 0.244 0.0319 0.0294 0.0828 0.0763
■ 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 University of Toledo ACHA_D1 — — 12 1 2 3 0.250
2024-25 University of Toledo ACHA_D1 — — 12 1 2 3 0.250
2023-24 University of Toledo ACHA_D1 — — 12 1 2 3 0.250
2022-23 University of Toledo ACHA_D1 — — 12 1 2 3 0.250
2021-22 University of Toledo ACHA_D1 — — 12 1 2 3 0.250
2020-21 University of Toledo ACHA_D1 — — 12 1 2 3 0.250

College Pathway Likelihood (based on 40 comparables)

2%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#54549
Forward overall
#3743
Forward born in 2003
#6094
in USPHL-Premier

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG

D2/3 Comparables

Jason Wilson
SUNY Cortland · 2001-02
0.518 Average
actual D2/3 PPG
Carl Bombardier
Wisconsin-Stout · 2010-11
0.200 Developing
actual D2/3 PPG
Eli Doughart-Wood
SUNY Potsdam · 2022-23
0.360 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.