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Jacob Bodin Elite Prospects ↗

Position: Defense DOB: 2004-10-27 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 Osseo USHS-MN 23 0 1 1 0.043 0.0055 0.0055 0.0106 0.0106
2020-21 Osseo USHS-MN 19 0 5 5 0.263 0.0333 0.0333 0.0639 0.0639
2021-22 Osseo USHS-MN 26 3 6 9 0.346 0.0438 0.0438 0.0841 0.0841
2022-23 Osseo USHS-MN 25 3 4 7 0.280 0.0354 0.0354 0.0680 0.0680
2023-24 Pueblo Bulls NCDC 15 0 2 2 0.133 0.0543 0.0551 0.1071 0.1087
2024-25 Minnesota Squatch USPHL-Premier 36 4 23 27 0.750 0.0981 0.0932 0.2545 0.2418
■ 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 Rivier D3 MASCAC FR 20 1 3 4 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.20
2025-26 · Rivier
+171.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D2/D3
5%
Club / ACHA
0%
Other

NCAAe Rankings

#10267
Defenseman overall
#2212
Defenseman born in 2004

D1 Comparables

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
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG

D2/3 Comparables

Riley See
Fredonia · 2023-24
0.312 Developing
actual D2/3 PPG
Michael Darosa
Nichols · 2013-14
0.000 No data
actual D2/3 PPG
Scott Elkow
Neumann · 2008-09
0.333 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.