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Noah Gibbs Elite Prospects ↗

Position: Forward DOB: 2004-05-27 Country: Canada
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 Janesville Jets NAHL 57 9 20 29 0.509 0.1869 0.1957 0.5378 0.5633
2023-24 Janesville Jets NAHL 50 15 25 40 0.800 0.2939 0.2938 0.8455 0.8451
2024-25 — NAHL 57 10 15 25 0.439 0.1611 0.1526 0.4636 0.4390
■ 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 Endicott D3 CNE FR 28 14 12 26 0.929
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.93
2025-26 · Endicott
+418.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
15%
NCAA D2/D3
48%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#24523
Forward overall
#1368
Forward born in 2004
#1901
in NAHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Payton Felix
Manhattanville · 2021-22
0.000 No data
actual D2/3 PPG
Jordan Larkee
Saint John's · 2024-25
0.556 Average
actual D2/3 PPG
Billy Loughnane
Morrisville · 2024-25
0.000 No data
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.