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Tyler Poulsen Elite Prospects ↗

Position: Forward DOB: 1993-04-01 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 Kenai River Brown Bears NAHL 6 1 0 1 0.167 0.0619 0.0701 0.1765 0.1999
2010-11 Aberdeen Wings NAHL 55 21 22 43 0.782 0.2903 0.3139 0.8278 0.8952
2011-12 — NAHL 49 10 9 19 0.388 0.1440 0.1486 0.4106 0.4238
2012-13 Amarillo Wranglers NAHL 53 13 19 32 0.604 0.2242 0.2201 0.6393 0.6277
2013-14 Amarillo Wranglers NAHL 56 29 32 61 1.089 0.4045 0.3769 1.1534 1.0747
■ 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
2017-18 Alabama-Huntsville D1 — JR 35 9 17 26 0.743
2016-17 Alabama-Huntsville D1 — SO 24 3 3 6 0.250
2015-16 Alabama-Huntsville D1 — FR 29 3 3 6 0.207
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.21
2015-16 · Alabama-Huntsville
-23.1% vs. projection

NCAAe Rankings

#11400
Forward overall
#412
Forward born in 1993
#590
in NAHL

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.40 No data
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.38 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.46 Strong
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Cole Stewart
Southern New Hampshire · 2017-18
0.462 Average
actual D2/3 PPG
Bryan Black
SUNY Potsdam · 2008-09
0.818 Strong
actual D2/3 PPG
Nate Rein
Wisconsin-Superior · 2004-05
0.967 Strong
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.