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Tobias Pitka Elite Prospects ↗

Position: Forward DOB: 2006-04-28 Country: Slovakia
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
2022-23 Green Bay Gamblers USHL 5 0 0 0 0.000 — — — —
2023-24 Victoria Grizzlies BCHL 46 5 14 19 0.413 0.1538 0.1655 0.6018 0.6476
2024-25 Victoria Grizzlies BCHL 41 15 23 38 0.927 0.3452 0.3541 1.3504 1.3852
■ 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
2025-26 Northern Michigan D1 CCHA FR 25 5 7 12 0.480
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.48
2025-26 · Northern Michigan
+94.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
2%
NCAA D2/D3
15%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#19207
Forward overall
#818
Forward born in 2006

D1 Comparables

Brandon Hawkins
NAHL · 2012-13 · 0.97 PPG
→ Bowling Green (0.77 D1 FR PPG)
0.40 Strong
NCAAe PPG
Max Coatta
USHL · 2012-13 · 0.50 PPG
→ Minnesota (0.36 D1 FR PPG)
0.31 Average
NCAAe PPG
Jack Rowe
USHL · 2012-13 · 0.53 PPG
→ Arizona State (0.21 D1 FR PPG)
0.32 Developing
NCAAe PPG
Ray Pigozzi
USHL · 2012-13 · 0.64 PPG
→ UMass (0.55 D1 FR PPG)
0.39 Average
NCAAe PPG
Brian Morgan
USHL · 2012-13 · 0.53 PPG
→ Maine (0.35 D1 FR PPG)
0.32 Average
NCAAe PPG

D2/3 Comparables

Mickey Gilchrist
Middlebury · 2002-03
1.000 Elite
actual D2/3 PPG
Nicholas Stevens
Wisconsin-Stout · 2020-21
0.826 Strong
actual D2/3 PPG
Ryan Bloom
New England · 2011-12
1.654 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.