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Jack Mesic Elite Prospects ↗

Position: Defense DOB: 2002-10-18 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 Houston Bulls NAHL 45 0 10 10 0.222 0.0880 0.0880 0.2333 0.2333
2020-21 Youngstown Phantoms USHL 7 1 1 2 0.286 0.1756 0.1756 0.8417 0.8417
2021-22 Houston Bulls NAHL 54 12 16 28 0.518 0.2054 0.2087 0.9820 0.9578
2022-23 Houston Bulls NAHL 58 7 29 36 0.621 0.2459 0.2378 0.6517 0.6302
■ 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 Ferris State D1 CCHA JR 37 2 8 10 0.270
2024-25 Western Michigan D1 NCHC — 5 0 0 0 0.000
2023-24 Ferris State D1 CCHA — 36 2 8 10 0.278
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.28
2023-24 · Ferris State
+30.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D1
5%
NCAA D2/D3
40%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#7430
Defenseman overall
#1765
Defenseman born in 2002
#2736
in NAHL

D1 Comparables

Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.23 No data
NCAAe PPG
Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.25 Elite D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.18 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.27 Developing D
NCAAe PPG

D2/3 Comparables

Jason Ladzinski
Franklin Pierce · 2018-19
0.387 Average
actual D2/3 PPG
Cam Owens
SUNY Plattsburgh · 2014-15
0.647 Average
actual D2/3 PPG
Alex Altenbernd
St. Thomas · 2010-11
0.615 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.