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Dylan Steman Elite Prospects ↗

Position: Forward DOB: 1994-06-07 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
2012-13 Cedar Rapids RoughRiders USHL 58 11 21 32 0.552 0.3254 0.3262 1.6570 1.6609
2013-14 Cedar Rapids RoughRiders USHL 56 13 17 30 0.536 0.3160 0.3020 1.6089 1.5375
■ 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
2018-19 Michigan Tech D1 WCHA SR 37 4 9 13 0.351
2017-18 Michigan Tech D1 WCHA SR 43 7 12 19 0.442
2016-17 Michigan Tech D1 WCHA JR 12 2 2 4 0.333
2015-16 Michigan Tech D1 WCHA SO 21 6 8 14 0.667
2014-15 Michigan Tech D1 WCHA FR 41 8 12 20 0.488
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.49
2014-15 · Michigan Tech
+82.8% vs. projection

NCAAe Rankings

#13343
Forward overall
#560
Forward born in 1994
#1260
in USHL

D1 Comparables

Luc Gerdes
NAHL · 2012-13 · 0.80 PPG
→ Colorado College (0.25 D1 FR PPG)
0.29 Developing
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.28 Developing
NCAAe PPG
Garret Clemment
NAHL · 2012-13 · 0.93 PPG
→ Lake Superior State (0.43 D1 FR PPG)
0.34 Average
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.35 Developing
NCAAe PPG
Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State
0.36 No data
NCAAe PPG

D2/3 Comparables

Geordan Buffoline
University of New England · 2018-19
1.667 Elite
actual D2/3 PPG
Collin Patterson
UMass Dartmouth · 2021-22
1.125 Elite
actual D2/3 PPG
Jonny Mulera
Salve Regina · 2018-19
1.409 Elite
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.