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Noah Laba Elite Prospects ↗

Position: Forward DOB: 2003-08-04 Country: USA
2022 NHL Draft Round 4, Pick #111  ·  New York Rangers New York Rangers
Signed Professionally

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
2020-21 — USHL 46 9 10 19 0.413 0.2436 0.2436 1.2364 1.2364
2021-22 — USHL 50 15 24 39 0.780 0.4601 0.4670 2.3352 2.3703
■ 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
2024-25 Colorado College D1 NCHC JR 29 10 16 26 0.897
2023-24 Colorado College D1 NCHC SO 36 20 17 37 1.028
2022-23 Colorado College D1 NCHC FR 35 11 11 22 0.629
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.40
before college
→
Actual FR PPG
0.63
2022-23 · Colorado College
+57.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

95%
NCAA D1
0%
NCAA D2/D3
5%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

D1 Comparables

Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
Justin Greenberg
NAHL · 2012-13 · 0.95 PPG
→ Miami (0.24 D1 FR PPG)
0.39 Developing
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.41 Developing
NCAAe PPG
Grant Besse
USHL · 2012-13 · 0.57 PPG
→ Wisconsin (0.39 D1 FR PPG)
0.35 Average
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.43 Developing
NCAAe PPG

D2/3 Comparables

Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 Average
actual D2/3 PPG
Nick Ford
Elmira · 2014-15
0.800 Strong
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 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.