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George Haigley Elite Prospects ↗

Position: Forward DOB: 2002-03-28 Country: USA
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
2020-21 New Jersey Jr. Titans NA3HL 34 8 14 22 0.647 0.0824 0.0824 0.2047 0.2047
2021-22 Utica Jr. Comets USPHL-Premier 42 10 15 25 0.595 0.0781 0.0763 0.2021 0.1975
2022-23 Utica Jr. Comets USPHL-Premier 40 3 18 21 0.525 0.0689 0.0639 0.1782 0.1654
■ 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 Beloit D3 WIAC JR 15 2 1 3 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.20
2025-26 · Beloit
+239.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#32794
Forward overall
#1970
Forward born in 2002

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Billy Hartnett
Rivier · 2021-22
0.182 Developing
actual D2/3 PPG
Todd Krupa
Milwaukee School of Engineering · 2007-08
0.333 Developing
actual D2/3 PPG
Joe Kittelberger
Stevenson · 2015-16
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.