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Tyler Deresky Elite Prospects ↗

Position: Forward DOB: 1992-12-09 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
2009-10 Lincoln Stars USHL 24 3 1 4 0.167 0.1062 0.1145 0.4995 0.5385
2010-11 Des Moines Buccaneers USHL 39 2 6 8 0.205 0.1306 0.1342 0.6146 0.6316
2011-12 Amarillo Bulls NAHL 49 15 13 28 0.571 0.2122 0.2157 0.6050 0.6151
2012-13 Amarillo Bulls NAHL 58 20 26 46 0.793 0.2945 0.2846 0.8397 0.8115
■ 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
2016-17 Bentley D1 AHA SR 36 6 5 11 0.306
2015-16 Bentley D1 AHA JR 35 4 7 11 0.314
2014-15 Bentley D1 AHA SO 29 1 5 6 0.207
2013-14 Bentley D1 AHA FR 31 3 3 6 0.194
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.19
2013-14 · Bentley
-12.0% vs. projection

NCAAe Rankings

#16570
Forward overall
#705
Forward born in 1992

D1 Comparables

Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Evan Ritt
NAHL · 2012-13 · 0.67 PPG
→ Denver
0.24 No data
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Anthony Pickering
Concordia Wisconsin · 2013-14
0.809 Strong
actual D2/3 PPG
Brian Arrigoni
Hamline · 2007-08
1.036 Elite
actual D2/3 PPG
Billy Foulds
Manhattanville · 2000-01
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.