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Simon Butala Elite Prospects ↗

Position: Defense DOB: 1998-08-01 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 Sioux City Musketeers USHL 11 0 0 0 0.000 — — — —
2015-16 — NAHL 16 0 5 5 0.312 0.1148 0.1265 — —
2016-17 Central Illinois Flying Aces USHL 56 0 3 3 0.054 0.0316 0.0321 0.1610 0.1637
2017-18 Central Illinois Flying Aces USHL 45 2 6 8 0.178 0.1049 0.1014 0.5340 0.5163
■ 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 Maine D1 HockeyEast — 28 0 2 2 0.071
2020-21 Maine D1 HockeyEast JR 16 0 2 2 0.125
2019-20 Maine D1 HockeyEast SO 34 1 4 5 0.147
2018-19 Maine D1 HockeyEast FR 36 0 2 2 0.056
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.06
2018-19 · Maine
-20.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
2%
NCAA D2/D3
60%
Pro / Other

NCAAe Rankings

#18964
Defenseman overall
#2695
Defenseman born in 1998
#3915
in USHL

D1 Comparables

Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG

D2/3 Comparables

Matt Salmon
SUNY Morrisville · 2007-08
0.577 Average
actual D2/3 PPG
Alessio Luciani
Adrian · 2017-18
1.103 Elite
actual D2/3 PPG
Josiah Matuszewski
Bethel · 2002-03
0.875 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.