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Girts Silkalns Elite Prospects ↗

Position: Forward DOB: 2003-06-30 Country: Latvia
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
2021-22 HK Riga MHL-RU 60 20 20 40 0.667 0.3392 0.3420 1.7864 1.8013
2022-23 — USHL 55 10 20 30 0.545 0.3218 0.3084 1.6384 1.5700
■ 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 Northern Michigan D1 CCHA JR 25 2 5 7 0.280
2024-25 UMass Lowell D1 HockeyEast — 10 1 2 3 0.300
2023-24 UMass Lowell D1 HockeyEast — 18 0 2 2 0.111
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.11
2023-24 · UMass Lowell
-59.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

75%
NCAA D1
2%
NCAA D2/D3
8%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#10213
Forward overall
#451
Forward born in 2003

D1 Comparables

Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.32 Average
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.28 Developing
NCAAe PPG
Garret Clemment
NAHL · 2012-13 · 0.93 PPG
→ Lake Superior State (0.43 D1 FR PPG)
0.34 Average
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.35 Developing
NCAAe PPG
Luc Gerdes
NAHL · 2012-13 · 0.80 PPG
→ Colorado College (0.25 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

Geordan Buffoline
University of New England · 2018-19
1.667 Elite
actual D2/3 PPG
Scott Hudson
Manhattanville · 2007-08
1.231 Elite
actual D2/3 PPG
Brett Gravelle
St. Thomas · 2014-15
0.923 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.