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Kyle Gierman Elite Prospects ↗

Position: Defense DOB: 1999-03-25 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 Metro Jets NA3HL 42 11 26 37 0.881 0.1106 0.1129 — —
2018-19 Northeast Generals NAHL 40 6 9 15 0.375 0.1378 0.1358 0.3958 0.3901
2019-20 Northeast Generals NAHL 41 2 9 11 0.268 0.0986 0.0986 0.2832 0.2832
■ 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 Babson D3 LittleEast — 26 0 8 8 0.308
2023-24 Lawrence D3 NCHA SR 24 3 9 12 0.500
2022-23 Lawrence D3 NCHA JR 23 3 12 15 0.652
2021-22 Lawrence D3 NCHA SO 24 2 17 19 0.792
2020-21 Lawrence D1 ECAC FR 9 0 8 8 0.889
2020-21 Lawrence D3 NCHA FR 9 0 8 8 0.889
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.89
2020-21 · Lawrence
+643.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
5%
NCAA D2/D3
15%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#11506
Defenseman overall
#2095
Defenseman born in 1999

D1 Comparables

Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.16 Elite D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Ryan Paul
Framingham State · 2015-16
0.684 Strong
actual D2/3 PPG
Jack Parks
Gustavus Adolphus · 2018-19
0.000 No data
actual D2/3 PPG
Blake Rielly
SUNY Brockport · 2003-04
0.500 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.