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Luke Delzer Elite Prospects ↗

Position: Forward DOB: 2003-08-21 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
2019-20 Totino-Grace USHS-MN 27 20 9 29 1.074 0.1360 0.1360 0.2609 0.2609
2020-21 Totino-Grace USHS-MN 20 12 10 22 1.100 0.1393 0.1393 0.2672 0.2672
2021-22 — NAHL 30 5 3 8 0.267 0.0980 0.1037 0.2815 0.2979
2022-23 Granite City Lumberjacks NA3HL 39 15 18 33 0.846 0.1062 0.1058 — —
■ 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
2024-25 Gustavus Adolphus D3 MIAC — 26 5 7 12 0.462
2023-24 Gustavus Adolphus D3 MIAC — 15 1 2 3 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.20
2023-24 · Gustavus Adolphus
+122.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D2/D3
0%
Club / ACHA
32%
Other

NCAAe Rankings

#29987
Forward overall
#1743
Forward born in 2003

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Connor Lenaghan
Becker · 2016-17
0.000 No data
actual D2/3 PPG
Stephen Collins
SUNY Geneseo · 2009-10
0.800 Strong
actual D2/3 PPG
Jordan Renaud
SUNY Brockport · 2015-16
0.591 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.