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Steven Ford Elite Prospects ↗

Position: Defense DOB: 1998-02-08 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
2016-17 Skylands Kings NA3HL 46 15 37 52 1.130 0.1419 0.1440 0.3569 0.3623
2017-18 Skylands Kings NA3HL 44 20 51 71 1.614 0.2025 0.1953 0.5094 0.4913
2018-19 Skylands Kings NA3HL 46 16 44 60 1.304 0.1637 0.1493 0.4118 0.3755
■ 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 SUNY Morrisville D3 SUNYAC — 9 1 1 2 0.222
2021-22 SUNY Morrisville D3 SUNYAC — 13 1 3 4 0.308
2019-20 SUNY Morrisville D1 SUNYAC FR 5 0 0 0 0.000
2019-20 SUNY Morrisville D3 SUNYAC — 5 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#2968
Defenseman overall
#686
Defenseman born in 1998
#214
in NA3HL

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Michael McChesney
St. Norbert · 2018-19
0.333 Developing
actual D2/3 PPG
Alex O'Dowd
Franklin Pierce · 2017-18
0.000 No data
actual D2/3 PPG
Jonathan Horn
Tufts · 2022-23
0.867 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.