IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Garrett Hendrickson Elite Prospects ↗

Position: Forward DOB: 1992-06-29 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
2011-12 — BCHL 58 10 12 22 0.379 0.1476 0.1442 0.5531 0.5403
2012-13 Coulee Region Chill NAHL 55 12 18 30 0.545 0.2025 0.1912 0.5776 0.5453
■ 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
2016-17 Concordia D3 MIAC SR 27 6 12 18 0.667
2015-16 Concordia D3 MIAC JR 26 5 6 11 0.423
2014-15 Concordia D3 MIAC SO 21 5 13 18 0.857
2013-14 Concordia D3 MIAC FR 26 10 13 23 0.885
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.88
2013-14 · Concordia
+499.3% vs. projection

NCAAe Rankings

#22895
Forward overall
#996
Forward born in 1992

D1 Comparables

Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Jordan Martin
Wisconsin-Superior · 2017-18
0.480 Average
actual D2/3 PPG
Nate Holm
Northland · 2018-19
0.000 No data
actual D2/3 PPG
Corey Chakeen
UMass Boston · 2009-10
0.538 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.