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Dallas Tulik Elite Prospects ↗

Position: Forward DOB: 1998-06-23 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
2016-17 Winnipeg Blues MJHL 49 15 23 38 0.775 0.1493 0.1546 0.4890 0.5064
2017-18 Amarillo Wranglers NAHL 44 13 12 25 0.568 0.2088 0.2073 0.5997 0.5953
2018-19 Dubuque Fighting Saints USHL 32 4 7 11 0.344 0.2028 0.1845 1.0326 0.9395
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 Robert Morris D1 AHA 37 6 17 23 0.622
2022-23 Ferris State D1 CCHA 18 3 3 6 0.333
2021-22 Ferris State D1 CCHA 29 7 12 19 0.655
2020-21 Ferris State D1 WCHA 13 1 2 3 0.231
2019-20 Ferris State D1 WCHA 26 4 3 7 0.269
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
Actual FR PPG
0.27
2019-20 · Ferris State
+62.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
10%
NCAA D2/D3
45%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#19652
Forward overall
#933
Forward born in 1998

D1 Comparables

USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Wisconsin-Superior · 2013-14
0.518 Average
actual D2/3 PPG
Curry · 2005-06
1.308 Elite
actual D2/3 PPG
Curry · 2021-22
0.455 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.