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Alexis Vrana Elite Prospects ↗

Position: Forward DOB: 2006-11-25 Country: Canada
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 Kingston Jr. Ice Wolves OWHL-U22 43 3 2 5 0.116 0.0407 0.0407 — —
2023-24 Kingston Jr. Ice Wolves OWHL-U22 43 10 6 16 0.372 0.1301 0.1301 — —
2024-25 Kingston Jr. Ice Wolves OWHL-U22 42 8 7 15 0.357 0.1248 0.1248 — —
■ 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 Robert Morris D1 CHA-W — 35 1 0 1 0.029
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.03
2025-26 · Robert Morris
-73.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D1
2%
NCAA D2/D3
92%
Club / Other

NCAAe Rankings

#7573
Forward overall
#344
Forward born in 2006
#520
in OWHL-U22

D1 Comparables

Renee Saltness
USHS-MN-W · 2012-13 · 0.79 PPG
→ Quinnipiac (0.03 D1 FR PPG)
0.13 Developing
NCAAe PPG
Tianna Gunderson
USHS-MN-W · 2012-13 · 0.79 PPG
→ Minnesota (0.07 D1 FR PPG)
0.13 Developing
NCAAe PPG
Janna Haeg
USHS-MN-W · 2012-13 · 0.76 PPG
→ St. Cloud State (0.30 D1 FR PPG)
0.12 Developing
NCAAe PPG
Kendall Williamson
USHS-MN-W · 2012-13 · 0.76 PPG
→ Colgate
0.12 No data
NCAAe PPG
Sofia Poinar
USHS-MN-W · 2012-13 · 0.76 PPG
→ Minnesota (0.03 D1 FR PPG)
0.12 Developing
NCAAe PPG

D2/3 Comparables

Renee Saltness
Quinnipiac ·
0.029 Developing
actual D2/3 PPG
Tianna Gunderson
Minnesota ·
0.069 Developing
actual D2/3 PPG
Janna Haeg
St. Cloud State ·
0.303 Developing
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.