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Connor Chilton Elite Prospects ↗

Position: Forward DOB: 1997-03-15 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 Fairbanks Ice Dogs NAHL 52 5 13 18 0.346 0.1372 0.1342 0.3635 0.3557
2017-18 Fairbanks Ice Dogs NAHL 43 4 18 22 0.512 0.2027 0.1883 0.5371 0.4989
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
2021-22 Aurora D3 NCHA SR 3 1 0 1 0.333
2020-21 Aurora D1 JR 11 3 5 8 0.727
2020-21 Aurora D3 NCHA JR 11 3 5 8 0.727
2019-20 Aurora D1 SO 25 10 10 20 0.800
2019-20 Aurora D3 NCHA SO 25 10 10 20 0.800
2018-19 Aurora D1 FR 27 4 6 10 0.370
2018-19 Aurora D3 NCHA FR 27 4 6 10 0.370
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
Actual FR PPG
0.37
2018-19 · Aurora
+159.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
18%
NCAA D2/D3
48%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#32116
Forward overall
#1523
Forward born in 1997
#3050
in NAHL

D1 Comparables

USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Suffolk · 2015-16
0.500 Average
actual D2/3 PPG
SUNY Cortland · 2015-16
0.600 Average
actual D2/3 PPG
Wisconsin-Stevens Point · 2009-10
0.667 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.