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Chad Hillebrand Elite Prospects ↗

Position: Forward DOB: 1999-01-22 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
2017-18 Amarillo Wranglers NAHL 58 10 17 27 0.466 0.1710 0.1747 0.4913 0.5020
2018-19 Central Illinois Flying Aces USHL 55 11 12 23 0.418 0.2467 0.2317 1.2560 1.1794
2019-20 Green Bay Gamblers USHL 42 13 10 23 0.548 0.3230 0.3230 1.6447 1.6447
■ 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
2023-24 Western Michigan D1 NCHC SR 38 7 19 26 0.684
2022-23 Western Michigan D1 NCHC JR 32 7 9 16 0.500
2021-22 Western Michigan D1 NCHC SO 27 2 6 8 0.296
2020-21 Western Michigan D1 NCHC FR 12 1 1 2 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.17
2020-21 · Western Michigan
-6.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
18%
NCAA D2/D3
28%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#18320
Forward overall
#889
Forward born in 1999

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Jeremy Dawes
St. Scholastica · 2006-07
1.036 Elite
actual D2/3 PPG
Douglas Elgstam
SUNY Cortland · 2015-16
0.760 Strong
actual D2/3 PPG
Tyler Ramm
SUNY Plattsburgh · 2022-23
0.588 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.