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Scott Kishel Elite Prospects ↗

Position: Defense DOB: 1989-04-21 Country: USA
2007 · Round 6, Pick #192  ·  Montreal Canadiens Montreal Canadiens
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
2007-08 Sioux Falls Stampede USHL 57 3 11 14 0.246 0.1449 0.1456 0.7376 0.7413
■ 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
2011-12 Minnesota Duluth D1 WCHA-orig SR 35 3 15 18 0.514
2010-11 Minnesota Duluth D1 WCHA-orig JR 7 0 1 1 0.143
2009-10 Minnesota Duluth D1 NCHC SO 28 0 8 8 0.286
2008-09 Minnesota Duluth D1 NCHC FR 12 0 2 2 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.17
2008-09 · Minnesota Duluth
+21.3% vs. projection

NCAAe Rankings

#10701
Defenseman overall
#1207
Defenseman born in 1989
#3308
in USHL

D1 Comparables

Scott Moldenhauer
USHL · 2012-13 · 0.21 PPG
→ Western Michigan (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Dane Cooper
USHL · 2012-13 · 0.17 PPG
→ Brown (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Justin Wade
USHL · 2012-13 · 0.17 PPG
→ Notre Dame
0.10 No data
NCAAe PPG
Chris Buchanan
USHL · 2012-13 · 0.15 PPG
→ Bentley (0.25 D1 FR PPG)
0.09 Average D
NCAAe PPG
Josh McArdle
USHL · 2012-13 · 0.16 PPG
→ Brown (0.23 D1 FR PPG)
0.09 Average D
NCAAe PPG

D2/3 Comparables

Kenny Tencza
Elmira · 2013-14
0.556 Average
actual D2/3 PPG
Luc Malkhassian
Middlebury · 2023-24
0.667 Strong
actual D2/3 PPG
Mason Campbell
Saint John's · 2019-20
0.640 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.