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Alex Smith Elite Prospects ↗

Position: Defense DOB: 1995-01-31 Country: USA
No commitment set

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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
2011-12 Muskegon Lumberjacks USHL 47 2 13 15 0.319 0.1882 0.2048 0.9584 1.0429
2012-13 Indiana Ice USHL 12 1 1 2 0.167 0.0983 0.1017 0.5007 0.5182
2013-14 Youngstown Phantoms USHL 18 2 2 4 0.222 0.1311 0.1295 0.6674 0.6595
2014-15 Janesville Jets NAHL 54 8 28 36 0.667 0.2449 0.2378 0.7037 0.6833
2015-16 Janesville Jets NAHL 39 4 19 23 0.590 0.2167 0.2008 0.6224 0.5768
■ 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
2019-20 Michigan Tech D1 WCHA SR 39 7 16 23 0.590
2018-19 Michigan Tech D1 WCHA JR 33 4 10 14 0.424
2017-18 Michigan Tech D1 WCHA SO 40 8 14 22 0.550
2016-17 Michigan Tech D1 WCHA FR 43 7 13 20 0.465
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.47
2016-17 · Michigan Tech
+128.6% vs. projection

NCAAe Rankings

#5598
Defenseman overall
#958
Defenseman born in 1995

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 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
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG

D2/3 Comparables

John Doyle
SUNY Morrisville · 2012-13
0.875 Strong
actual D2/3 PPG
Franco Loparco
Concordia · 2012-13
0.500 Average
actual D2/3 PPG
Austin Bottrell
Adrian · 2017-18
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.