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Conner Chalmers Elite Prospects ↗

Position: Defense DOB: 2003-08-30 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
2018-19 Kimball Union NE-Prep 23 2 1 3 0.130 0.0252 0.0252 0.0597 0.0597
2021-22 Kimball Union NE-Prep 33 8 18 26 0.788 0.1520 0.1520 0.3605 0.3605
2022-23 — AJHL 52 5 16 21 0.404 0.1354 0.1338 0.3742 0.3697
2023-24 — NAHL 39 0 5 5 0.128 0.0455 0.0438 0.1346 0.1295
■ 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
2025-26 Endicott D3 CNE — 10 3 1 4 0.400
2024-25 Endicott D3 CNE — 18 0 1 1 0.056
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.06
2024-25 · Endicott
-26.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
12%
NCAA D2/D3
65%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#14364
Defenseman overall
#2725
Defenseman born in 2003

D1 Comparables

William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG

D2/3 Comparables

Tommy Ritchie
SUNY Cortland · 2016-17
0.375 Average
actual D2/3 PPG
Dylan Wizner
Wisconsin-Stevens Point · 2009-10
0.316 Developing
actual D2/3 PPG
Axel Hallin
Gustavus Adolphus · 2015-16
0.286 Developing
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.