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Alex Wilkins Elite Prospects ↗

Position: Defense DOB: 1998-03-14 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
2017-18 Calgary Canucks AJHL 40 3 20 23 0.575 0.1929 0.1850 0.5304 0.5086
2018-19 Johnstown Tomahawks NAHL 56 5 25 30 0.536 0.1903 0.1778 0.5651 0.5278
■ 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
2023-24 SUNY Geneseo D3 SUNYAC SR 27 4 16 20 0.741
2022-23 SUNY Geneseo D3 SUNYAC SR 18 2 5 7 0.389
2021-22 SUNY Geneseo D3 SUNYAC JR 28 2 19 21 0.750
2019-20 Geneseo D1 — FR 26 1 2 3 0.115
2019-20 SUNY Geneseo D3 SUNYAC FR 26 1 2 3 0.115
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.12
2019-20 · Geneseo
-32.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

57%
NCAA D1
10%
NCAA D2/D3
28%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#7196
Defenseman overall
#1441
Defenseman born in 1998

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 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

Philip Elgstam
Norwich · 2018-19
0.409 Average
actual D2/3 PPG
Jared Christy
New England · 2018-19
0.632 Average
actual D2/3 PPG
Ryan Dunner
Fredonia · 2016-17
0.545 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.