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Noah Hackett Elite Prospects ↗

Position: Forward DOB: 2001-12-11 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
2017-18 Camrose Kodiaks AJHL 1 1 0 1 1.000 0.3318 0.3803 0.9268 1.0622
2018-19 Lloydminster Bobcats AJHL 1 0 0 0 0.000 — — — —
2019-20 Olds Grizzlys AJHL 55 17 20 37 0.673 0.2232 0.2232 0.6235 0.6235
2020-21 Olds Grizzlys AJHL 14 4 5 9 0.643 0.2133 0.2133 0.5958 0.5958
2021-22 — AJHL 59 34 36 70 1.186 0.3936 0.3746 1.0996 1.0465
■ 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 Niagara D1 AHA SR 37 12 6 18 0.486
2024-25 Niagara D1 AHA JR 36 11 7 18 0.500
2023-24 Niagara D1 AHA SO 29 2 6 8 0.276
2022-23 Niagara D1 AHA FR 3 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
5%
NCAA D2/D3
38%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#15938
Forward overall
#722
Forward born in 2001
#368
in AJHL

D1 Comparables

Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.43 Strong
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.43 Developing
NCAAe PPG

D2/3 Comparables

Riley Klugerman
Concordia (WI) · 2022-23
0.913 Strong
actual D2/3 PPG
Rick Acorn
Elmira · 2007-08
0.615 Average
actual D2/3 PPG
Richard Manley
SUNY Geneseo · 2009-10
1.150 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.