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

Luke Dietsch Elite Prospects ↗

Position: Forward DOB: 1994-03-06 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 Jamestown Ironmen NAHL 12 0 0 0 0.000 — — — —
2013-14 Austin Bruins NAHL 58 16 20 36 0.621 0.2305 0.2255 0.6572 0.6428
2014-15 Austin Bruins NAHL 59 9 28 37 0.627 0.2328 0.2155 0.6640 0.6147
■ 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 Augsburg D3 MIAC SR 28 14 17 31 1.107
2017-18 Augsburg D3 MIAC JR 29 12 16 28 0.966
2016-17 Augsburg D3 MIAC SO 28 9 14 23 0.821
2015-16 Augsburg D3 MIAC FR 27 3 13 16 0.593
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.59
2015-16 · Augsburg
+215.4% vs. projection

NCAAe Rankings

#23030
Forward overall
#926
Forward born in 1994
#2397
in NAHL

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Ricky DeRosa
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Aidan Cavallini
NAHL · 2012-13 · 0.65 PPG
→ Wisconsin
0.22 No data
NCAAe PPG

D2/3 Comparables

Gramm McCormack
Milwaukee School of Engineering · 2021-22
1.111 Elite
actual D2/3 PPG
Liam Board
Neumann · 2013-14
0.667 Strong
actual D2/3 PPG
Steven Mohler
Curry · 2007-08
0.625 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.