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Alana Laser Elite Prospects ↗

Position: Forward DOB: 2007-08-21 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
2022-23 San Jose Jr. Sharks 16U AAA 16U-AAA-W 53 11 26 37 0.698 0.3130 0.3203 — —
2023-24 San Jose Jr. Sharks 16U AAA 16U-AAA-W 56 19 20 39 0.696 0.3123 0.3062 — —
2024-25 San Jose Jr. Sharks 19U AAA 19U-AAA-W 45 22 29 51 1.133 0.3859 0.3847 — —
■ 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 Albertus Magnus D3 — FR 24 6 4 10 0.417
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.42
2025-26 · Albertus Magnus
+37.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
2%
NCAA D2/D3
62%
Club / Other

NCAAe Rankings

#1692
Forward overall
#35
Forward born in 2007

D1 Comparables

Katie Rooney
USHS-MN-W · 2012-13 · 2.52 PPG
→ RPI (0.22 D1 FR PPG)
0.38 Developing
NCAAe PPG
Darby Dodds
USHS-MN-W · 2013-14 · 2.52 PPG
→ Lindenwood
0.38 No data
NCAAe PPG
Casey Leveillee
NE-Prep-Girls · 2012-13 · 0.63 PPG
→ Vermont (0.26 D1 FR PPG)
0.39 Developing
NCAAe PPG
Dana Rasmussen
USHS-MN-W · 2012-13 · 2.62 PPG
→ Ohio State (0.17 D1 FR PPG)
0.40 Developing
NCAAe PPG
Corbin Boyd
USHS-MN-W · 2013-14 · 2.42 PPG
→ Minnesota State (0.27 D1 FR PPG)
0.36 Developing
NCAAe PPG

D2/3 Comparables

Katie Rooney
RPI ·
0.219 Developing
actual D2/3 PPG
Darby Dodds
Lindenwood ·
0.000 No data
actual D2/3 PPG
Casey Leveillee
Vermont ·
0.265 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.