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Xander Lamppa Elite Prospects ↗

Position: Forward DOB: 2000-04-30 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
2017-18 Austin Bruins NAHL 46 11 9 20 0.435 0.1597 0.1733 0.4589 0.4980
2018-19 Waterloo Black Hawks USHL 58 7 19 26 0.448 0.2645 0.2652 1.3464 1.3499
2019-20 Waterloo Black Hawks USHL 49 15 30 45 0.918 0.5418 0.5418 2.7583 2.7583
■ 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 Penn State D1 BigTen SR 35 3 13 16 0.457
2022-23 Penn State D1 BigTen JR 37 6 13 19 0.513
2021-22 Penn State D1 BigTen SO 29 2 6 8 0.276
2020-21 Penn State D1 BigTen FR 13 1 1 2 0.154
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.15
2020-21 · Penn State
-21.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

80%
NCAA D1
0%
NCAA D2/D3
20%
Pro / Other

NCAAe Rankings

#10068
Forward overall
#422
Forward born in 2000

D1 Comparables

Christian Lampasso
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.44 D1 FR PPG)
0.27 Average
NCAAe PPG
Max Coatta
USHL · 2012-13 · 0.50 PPG
→ Minnesota State (0.36 D1 FR PPG)
0.29 Average
NCAAe PPG
Tyler Pham
USHL · 2012-13 · 0.39 PPG
→ Army (0.91 D1 FR PPG)
0.23 Elite
NCAAe PPG
Jack Rowe
USHL · 2012-13 · 0.53 PPG
→ Arizona State (0.21 D1 FR PPG)
0.31 Developing
NCAAe PPG
Brian Morgan
USHL · 2012-13 · 0.53 PPG
→ Maine (0.35 D1 FR PPG)
0.31 Average
NCAAe PPG

D2/3 Comparables

Jon Daigle
Marian · 2000-01
1.074 Elite
actual D2/3 PPG
Jack Cooper
King's · 2018-19
1.000 Elite
actual D2/3 PPG
Robbie Murden
Hamilton · 2010-11
1.091 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.