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Jack McNeely Elite Prospects ↗

Position: Defense DOB: 1996-12-18 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
2014-15 Lakeville North High USHS-MN 25 1 20 21 0.840 0.1063 0.0998 — —
2015-16 Tri-City Storm USHL 59 0 8 8 0.136 0.0800 0.0789 0.4073 0.4018
2016-17 — USHL 55 1 11 12 0.218 0.1287 0.1204 0.6553 0.6131
■ 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 Minnesota State D1 CCHA — 44 2 15 17 0.386
2020-21 Minnesota State D1 WCHA SR 27 1 5 6 0.222
2019-20 Minnesota State D1 WCHA JR 38 4 9 13 0.342
2018-19 Minnesota State D1 WCHA SO 42 1 9 10 0.238
2017-18 Minnesota State D1 WCHA FR 23 0 6 6 0.261
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.26
2017-18 · Minnesota State
+166.2% vs. projection

NCAAe Rankings

#11992
Defenseman overall
#1702
Defenseman born in 1996

D1 Comparables

Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
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
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG

D2/3 Comparables

Jordan Oye
Fredonia · 2006-07
0.556 Average
actual D2/3 PPG
Jake Russo
Elmira · 2018-19
0.360 Average
actual D2/3 PPG
Austin Bottrell
Adrian · 2016-17
0.591 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.