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Kevin Shand Elite Prospects ↗

Position: Forward DOB: 1995-07-29 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 Cedar Rapids RoughRiders USHL 14 1 5 6 0.429 0.2729 0.2764 1.2844 1.3006
2014-15 — NAHL 42 7 7 14 0.333 0.1238 0.1232 0.3529 0.3513
2015-16 Metro Jets NA3HL 43 41 40 81 1.884 0.2270 0.2132 0.5951 0.5589
■ 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 Milwaukee School of Engineering D3 — SR 12 3 4 7 0.583
2018-19 Milwaukee School of Engineering D3 — JR 15 2 2 4 0.267
2017-18 Milwaukee School of Engineering D3 — SO 8 0 0 0 0.000
2016-17 Milwaukee School of Engineering D3 — FR 17 2 5 7 0.412
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.41
2016-17 · Milwaukee School of Engineering
+171.5% vs. projection

NCAAe Rankings

#19598
Forward overall
#766
Forward born in 1995

D1 Comparables

Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG

D2/3 Comparables

Zeke Hume
Manhattanville · 2003-04
0.600 Average
actual D2/3 PPG
Garrett Hallford
Trine · 2017-18
0.960 Strong
actual D2/3 PPG
Jack Sheehan
Framingham State · 2015-16
0.400 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.