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Jacob Wilson Elite Prospects ↗

Position: Defense DOB: 1997-02-27 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
2013-14 Indiana Ice USHL 1 0 0 0 0.000 — — — —
2014-15 Sioux City Musketeers USHL 55 3 12 15 0.273 0.1609 0.1678 0.8190 0.8540
2015-16 Sioux City Musketeers USHL 45 7 13 20 0.444 0.2622 0.2612 1.3347 1.3298
2016-17 Sioux City Musketeers USHL 44 6 18 24 0.545 0.3218 0.3042 1.6384 1.5487
■ 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
2021-22 Arizona State D1 NCHC — 31 0 4 4 0.129
2020-21 Arizona State D1 NCHC SR 22 1 7 8 0.364
2019-20 Arizona State D1 NCHC JR 29 3 8 11 0.379
2018-19 Arizona State D1 NCHC SO 34 2 7 9 0.265
2017-18 Arizona State D1 NCHC FR 34 3 9 12 0.353
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.35
2017-18 · Arizona State
+30.3% vs. projection

NCAAe Rankings

#3754
Defenseman overall
#812
Defenseman born in 1997
#1783
in USHL

D1 Comparables

Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG

D2/3 Comparables

Jonny Mulera
Salve Regina · 2018-19
1.409 Elite
actual D2/3 PPG
Geordan Buffoline
University of New England · 2018-19
1.667 Elite
actual D2/3 PPG
Shawn Skelly
Adrian · 2006-07
1.655 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.