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Logan Kons Elite Prospects ↗

Position: Defense DOB: 1999-07-22 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
2017-18 Coulee Region Chill NAHL 32 1 2 3 0.094 0.0345 0.0361 0.0990 0.1036
2018-19 Maryland Black Bears NAHL 30 1 6 7 0.233 0.0857 0.0859 0.2462 0.2466
2019-20 Maryland Black Bears NAHL 52 5 19 24 0.462 0.1696 0.1696 0.4871 0.4871
■ 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
2023-24 Augsburg D3 MIAC SR 26 0 8 8 0.308
2022-23 Augsburg D3 MIAC JR 28 2 8 10 0.357
2021-22 Augsburg D3 MIAC SO 30 4 8 12 0.400
2020-21 Augsburg D1 MIAC FR 5 2 2 4 0.800
2020-21 Augsburg D3 MIAC FR 5 2 2 4 0.800
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.80
2020-21 · Augsburg
+1184.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
5%
NCAA D2/D3
22%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#13834
Defenseman overall
#2380
Defenseman born in 1999
#4552
in NAHL

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Will Blake
Wisconsin-Superior · 2016-17
0.385 Average
actual D2/3 PPG
Brian Patterson
Suffolk · 2015-16
0.000 No data
actual D2/3 PPG
Matthew Shaw
Marian · 2021-22
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.