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Keegan Ford Elite Prospects ↗

Position: Defense DOB: 1996-05-30 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
2012-13 Dubuque Fighting Saints USHL 43 4 12 16 0.372 0.2370 0.2610 1.1151 1.2281
2013-14 Dubuque Fighting Saints USHL 60 1 16 17 0.283 0.1804 0.1902 0.8490 0.8953
2014-15 Dubuque Fighting Saints USHL 38 2 15 17 0.447 0.2849 0.2864 1.3407 1.3480
2015-16 Dubuque Fighting Saints USHL 56 7 29 36 0.643 0.4094 0.3926 1.9266 1.8475
2016-17 Madison Capitols USHL 22 2 2 4 0.182 0.1158 0.1051 0.5448 0.4946
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
2019-20 Michigan Tech D1 WCHA SR 27 2 3 5 0.185
2018-19 Michigan Tech D1 WCHA SR 37 2 11 13 0.351
2017-18 Michigan Tech D1 WCHA SO 21 1 7 8 0.381
2014-15 Wisconsin D1 BigTen FR 12 0 2 2 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
Actual FR PPG
0.17
2014-15 · Wisconsin
-19.2% vs. projection

NCAAe Rankings

#2486
Defenseman overall
#588
Defenseman born in 1996
#2237
in USHL

D1 Comparables

USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.14 Developing D
NCAAe PPG
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.19 Developing D
NCAAe PPG
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.09 Developing D
NCAAe PPG
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG

D2/3 Comparables

Lake Forest · 2012-13
0.643 Average
actual D2/3 PPG
SUNY Oswego · 2009-10
0.000 No data
actual D2/3 PPG
St. Norbert · 2017-18
0.871 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.