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Braedon Ford Elite Prospects ↗

Position: Forward DOB: 2004-01-19 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 Des Moines Buccaneers USHL 1 0 0 0 0.000 — — — —
2021-22 Johnstown Tomahawks NAHL 52 12 12 24 0.462 0.1696 0.1830 0.4871 0.5255
2022-23 Des Moines Buccaneers USHL 59 4 4 8 0.136 0.0800 0.0789 0.4073 0.4016
2023-24 Des Moines Buccaneers USHL 41 11 11 22 0.537 0.3165 0.2964 1.6116 1.5090
■ 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 Penn State D1 BigTen SO 22 1 0 1 0.045
2024-25 Penn State D1 BigTen — 14 1 0 1 0.071
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.07
2024-25 · Penn State
-60.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

60%
NCAA D1
2%
NCAA D2/D3
20%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#25650
Forward overall
#1449
Forward born in 2004
#2479
in USHL

D1 Comparables

Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Ryan Bloom
University of New England · 2012-13
1.654 Elite
actual D2/3 PPG
Gage Dill
Curry · 2021-22
1.000 Elite
actual D2/3 PPG
Tanner Congdon
Bryn Athyn · 2016-17
0.857 Strong
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.