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Connor Chambers Elite Prospects ↗

Position: Defense DOB: 1995-03-31 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 Odessa Jackalopes NAHL 3 0 0 0 0.000 — — — —
2013-14 Odessa Jackalopes NAHL 43 1 12 13 0.302 0.1111 0.1146 — —
2014-15 Okotoks Oilers AJHL 52 2 19 21 0.404 0.1354 0.1303 0.3737 0.3598
2015-16 Okotoks Oilers AJHL 60 9 22 31 0.517 0.1733 0.1588 0.4782 0.4381
■ 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 Wisconsin-Stout D1 BigTen SR 27 4 9 13 0.481
2019-20 Wisconsin-Stout D3 BigTen SR 27 4 9 13 0.481
2018-19 Wisconsin-Stout D1 BigTen JR 24 0 10 10 0.417
2018-19 Wisconsin-Stout D3 BigTen JR 24 0 10 10 0.417
2017-18 Wisconsin-Stout D3 BigTen SO 25 2 15 17 0.680
2016-17 Wisconsin-Stevens Point D3 BigTen FR 2 0 0 0 0.000

NCAAe Rankings

#11025
Defenseman overall
#1534
Defenseman born in 1995

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 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
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 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

Zach Satalino
Lawrence · 2016-17
0.538 Average
actual D2/3 PPG
Brendan McCormack
Canton · 2018-19
0.440 Average
actual D2/3 PPG
Evan Hesse
Augsburg · 2013-14
0.577 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.