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Avery Huibregtse Elite Prospects ↗

Position: Defense DOB: 1994-06-09 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
2013-14 Cleveland Jr. Lumberjacks NA3HL 43 2 28 30 0.698 0.1605 0.1573 0.2210 0.2166
2014-15 Cleveland Jr. Lumberjacks NA3HL 47 6 22 28 0.596 0.1370 0.1276 0.1887 0.1757
■ 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
2018-19 Finlandia D1 — SR 26 0 1 1 0.038
2018-19 Finlandia D3 — SR 26 0 1 1 0.038
2017-18 Finlandia D3 — JR 24 2 3 5 0.208
2016-17 Finlandia D3 — SO 25 0 2 2 0.080
2015-16 Finlandia D3 — FR 18 2 4 6 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.33
2015-16 · Finlandia
+153.1% vs. projection

NCAAe Rankings

#10970
Defenseman overall
#1453
Defenseman born in 1994
#1732
in NA3HL

D1 Comparables

Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 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
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG

D2/3 Comparables

Connor Kelly
Saint John's · 2014-15
0.400 Average
actual D2/3 PPG
Peter Mott
SUNY Geneseo · 2010-11
0.273 Developing
actual D2/3 PPG
Luke Jordan
UMass Dartmouth · 2022-23
0.000 No data
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.