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Connor Mahony Elite Prospects ↗

Position: Forward DOB: 2003-02-14 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
2019-20 Blake USHS-MN 27 8 13 21 0.778 0.0985 0.0985 0.1889 0.1889
2020-21 Blake USHS-MN 17 6 7 13 0.765 0.0968 0.0968 0.1857 0.1857
2021-22 Minnesota Magicians NAHL 32 7 9 16 0.500 0.1837 0.1896 0.5278 0.5449
2022-23 Wisconsin Windigo NAHL 38 8 14 22 0.579 0.2127 0.2091 0.6110 0.6008
■ 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
2023-24 Gustavus Adolphus D3 MIAC — 24 7 5 12 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.50
2023-24 · Gustavus Adolphus
+190.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
10%
NCAA D2/D3
18%
Age-Out / Club
50%
Pro / Other

NCAAe Rankings

#25913
Forward overall
#1457
Forward born in 2003

D1 Comparables

Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Alexander Babich
Trine · 2022-23
0.800 Strong
actual D2/3 PPG
Mark Kishko
Lebanon Valley · 2017-18
0.250 Developing
actual D2/3 PPG
Garrett Alberti
Saint Anselm · 2021-22
0.625 Average
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.