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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 0.1828 0.1972 0.4845 0.5227
2022-23 Des Moines Buccaneers USHL 59 4 4 8 0.136 0.0834 0.0822 0.3995 0.3939
2023-24 Des Moines Buccaneers USHL 41 11 11 22 0.537 0.3298 0.3088 1.5809 1.4803
■ 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
0.19
before college
→
Actual FR PPG
0.07
2024-25 · Penn State
-61.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
2%
NCAA D2/D3
45%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#25491
Forward overall
#1441
Forward born in 2004
#2505
in USHL

D1 Comparables

Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Bradley Somers
Adrian · 2021-22
0.871 Strong
actual D2/3 PPG
Lucas Michaud
Trinity · 2016-17
0.893 Strong
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.