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Joseph Messina Elite Prospects ↗

Position: Defense DOB: 2002-02-01 Country: Canada
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
2021-22 Langley Rivermen BCHL 54 8 25 33 0.611 0.2276 0.2183 0.8904 0.8540
2022-23 Langley Rivermen BCHL 38 6 15 21 0.553 0.2058 0.1873 0.8052 0.7328
■ 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 Canisius D1 AHA — 12 0 1 1 0.083
2024-25 Union D1 ECAC — 26 1 3 4 0.154
2023-24 Union D1 ECAC — 22 1 3 4 0.182
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.18
2023-24 · Union
-3.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
5%
NCAA D2/D3
72%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#5827
Defenseman overall
#1467
Defenseman born in 2002
#1560
in BCHL

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota (0.06 D1 FR PPG)
0.05 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 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

D2/3 Comparables

Clint Olson
SUNY Geneseo · 2007-08
0.583 Average
actual D2/3 PPG
Ryan McDonald
Framingham State · 2008-09
0.818 Strong
actual D2/3 PPG
Ethan James
Wisconsin-Superior · 2015-16
1.000 Elite
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.