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

Jordan Himley Elite Prospects ↗

Position: Forward DOB: 1993-12-26 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 Janesville Jets NAHL 4 0 2 2 0.500 0.1857 0.1985 0.5294 0.5659
2012-13 Janesville Jets NAHL 57 15 11 26 0.456 0.1693 0.1725 0.4829 0.4920
2013-14 Janesville Jets NAHL 59 25 24 49 0.831 0.3084 0.2987 0.8793 0.8516
■ 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
2017-18 Air Force D1 AHA SR 37 11 12 23 0.622
2016-17 Air Force D1 AHA JR 41 22 15 37 0.902
2015-16 Air Force D1 AHA SO 37 8 14 22 0.595
2014-15 Air Force D1 AHA FR 37 3 4 7 0.189
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.19
2014-15 · Air Force
-11.0% vs. projection

NCAAe Rankings

#14474
Forward overall
#535
Forward born in 1993
#1013
in NAHL

D1 Comparables

Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Evan Ritt
NAHL · 2012-13 · 0.67 PPG
→ Denver
0.24 No data
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.31 Average
NCAAe PPG

D2/3 Comparables

Devin Warfield
Daniel Webster · 2015-16
0.500 Average
actual D2/3 PPG
A.J. Tucker
St. Scholastica · 2003-04
1.111 Elite
actual D2/3 PPG
Mitch Fritz
Saint John's · 2014-15
1.071 Elite
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.