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Martins Lavins Elite Prospects ↗

Position: Forward DOB: 2003-04-10 Country: Latvia
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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
2021-22 Cedar Rapids RoughRiders USHL 50 4 11 15 0.300 0.1770 0.1768 0.9010 0.9002
2022-23 Cedar Rapids RoughRiders USHL 50 12 12 24 0.480 0.2832 0.2682 1.4416 1.3654
■ 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 New Hampshire D1 HockeyEast — 22 5 5 10 0.455
2024-25 New Hampshire D1 HockeyEast JR 35 8 9 17 0.486
2023-24 New Hampshire D1 HockeyEast SO 35 5 9 14 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.40
2023-24 · New Hampshire
+101.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

62%
NCAA D1
8%
NCAA D2/D3
8%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#21506
Forward overall
#1131
Forward born in 2003
#2106
in USHL

D1 Comparables

Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Devin Loe
NAHL · 2012-13 · 0.85 PPG
→ Miami (0.71 D1 FR PPG)
0.31 Strong
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.22 Developing
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.33 Average
NCAAe PPG

D2/3 Comparables

Gabe Randel
Wisconsin-Stevens Point · 2023-24
0.800 Strong
actual D2/3 PPG
Mickey Gilchrist
Middlebury · 2003-04
1.000 Elite
actual D2/3 PPG
Anthony Libonati
Becker · 2006-07
1.000 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.