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Jack Seaverson Elite Prospects ↗

Position: Forward DOB: 2004-02-14 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 Chaska USHS-MN 18 3 3 6 0.333 0.0422 0.0422 0.0810 0.0810
2020-21 Chaska USHS-MN 19 13 14 27 1.421 0.1799 0.1799 0.3452 0.3452
2021-22 Chaska USHS-MN 28 12 19 31 1.107 0.1402 0.1402 0.2689 0.2689
2022-23 Lincoln Stars USHL 11 0 1 1 0.091 0.0536 0.0530 0.2730 0.2702
2023-24 Houston Bulls NAHL 60 15 17 32 0.533 0.1959 0.1930 0.5629 0.5547
2024-25 North Iowa Bulls NAHL 51 10 28 38 0.745 0.2737 0.2553 0.7865 0.7338
■ 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 St. Norbert D3 NCHA FR 31 4 10 14 0.452
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.45
2025-26 · St. Norbert
+129.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
10%
NCAA D2/D3
35%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#25789
Forward overall
#1457
Forward born in 2004

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Ethan James
Wisconsin-Superior · 2015-16
1.000 Elite
actual D2/3 PPG
Brandon Couto
SUNY Potsdam · 2009-10
0.591 Average
actual D2/3 PPG
Will Soloway
Colby · 2023-24
0.750 Strong
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.