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Chase Foley Elite Prospects ↗

Position: Defense DOB: 2000-02-17 Country: USA
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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
2018-19 Central Illinois Flying Aces USHL 61 1 13 14 0.230 0.1354 0.1344 0.6893 0.6842
2019-20 Sioux Falls Stampede USHL 37 1 18 19 0.513 0.3029 0.3029 1.5422 1.5422
■ 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
2024-25 St. Thomas D1 CCHA — 37 3 19 22 0.595
2023-24 Colorado College D1 NCHC GR 32 2 14 16 0.500
2022-23 Colorado College D1 NCHC SR 34 0 6 6 0.176
2021-22 Colorado College D1 NCHC JR 23 1 5 6 0.261
2020-21 Colorado College D1 NCHC — 15 0 3 3 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.20
2020-21 · Colorado College
+57.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

62%
NCAA D1
2%
NCAA D2/D3
35%
Pro / Other

NCAAe Rankings

#4800
Defenseman overall
#1032
Defenseman born in 2000
#2168
in USHL

D1 Comparables

Garret Cockerill
USHL · 2012-13 · 0.26 PPG
→ Northeastern (0.41 D1 FR PPG)
0.15 Strong D
NCAAe PPG
Johnny Wingels
USHL · 2012-13 · 0.29 PPG
→ Miami
0.17 No data
NCAAe PPG
Justin Woods
USHL · 2012-13 · 0.32 PPG
→ Alaska Fairbanks (0.18 D1 FR PPG)
0.18 Average D
NCAAe PPG
Eric Sweetman
USHL · 2012-13 · 0.29 PPG
→ St. Lawrence (0.39 D1 FR PPG)
0.17 Strong D
NCAAe PPG
Sam Piazza
USHL · 2012-13 · 0.16 PPG
→ Michigan (0.10 D1 FR PPG)
0.09 Developing D
NCAAe PPG

D2/3 Comparables

Shawn Kennedy
Elmira · 2017-18
1.133 Elite
actual D2/3 PPG
Ivan Galaguzov
Lawrence · 2016-17
0.444 Average
actual D2/3 PPG
Blake Johnson
Concordia · 2021-22
0.389 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.