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Patrick Roginski Elite Prospects ↗

Position: Forward DOB: 2001-06-25 Country: USA
No commitment set

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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
2020-21 Florida Jr. Blades USPHL-Premier 28 10 15 25 0.893 0.1168 0.1168 0.3031 0.3031
2021-22 Shreveport Mudbugs NAHL 18 0 6 6 0.333 0.1225 0.1164 0.3518 0.3343
■ 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 Wilkes D3 MAC SR 22 7 8 15 0.682
2024-25 Wilkes D3 MAC JR 23 9 16 25 1.087
2023-24 Wilkes D3 MAC SO 27 11 9 20 0.741
2022-23 Wilkes D3 MAC FR 19 3 4 7 0.368
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.37
2022-23 · Wilkes
+269.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
8%
NCAA D2/D3
70%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#20623
Forward overall
#999
Forward born in 2001

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Luke Munroe
SUNY Geneseo · 2022-23
0.000 No data
actual D2/3 PPG
Reid Brown
Gustavus Adolphus · 2015-16
0.222 Developing
actual D2/3 PPG
Dan McCauley
Bethel · 2004-05
0.667 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.