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Tyler Kulas Elite Prospects ↗

Position: Forward DOB: 1999-06-30 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
2017-18 Minnesota Mullets USPHL-Premier 44 12 22 34 0.773 0.1011 0.1051 0.2623 0.2728
2018-19 Minnesota Mullets USPHL-Premier 44 17 43 60 1.364 0.1784 0.1760 0.4628 0.4567
2019-20 Hudson Havoc USPHL-Premier 40 21 44 65 1.625 0.2125 0.2125 0.5515 0.5515
■ 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
2023-24 Neumann D3 MAC SR 22 9 7 16 0.727
2022-23 Neumann D3 MAC JR 25 5 13 18 0.720
2021-22 Neumann D3 MAC SO 25 4 5 9 0.360
2020-21 Neumann D3 MAC FR 9 0 4 4 0.444
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.44
2020-21 · Neumann
+251.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D2/D3
0%
Club / ACHA
45%
Other

NCAAe Rankings

#7478
Forward overall
#320
Forward born in 1999
#253
in USPHL-Premier

D1 Comparables

Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.22 Developing
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG

D2/3 Comparables

Vilho Saariluoma
Wisconsin-River Falls · 2018-19
1.300 Elite
actual D2/3 PPG
Sam Kuzyk
Adrian · 2005-06
0.621 Average
actual D2/3 PPG
Vince Perreault
Westfield State · 2008-09
1.083 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.