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Gavin O'Connell Elite Prospects ↗

Position: Forward DOB: 2004-02-19 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
2021-22 Waterloo Black Hawks USHL 62 8 16 24 0.387 0.2284 0.2381 1.1626 1.2117
2022-23 Waterloo Black Hawks USHL 59 24 26 50 0.848 0.4999 0.4950 2.5454 2.5206
■ 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 Michigan State D1 BigTen JR 37 6 10 16 0.432
2024-25 Michigan D1 BigTen SO 28 6 7 13 0.464
2023-24 Michigan D1 BigTen FR 38 15 11 26 0.684
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.68
2023-24 · Michigan
+103.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

100%
NCAA D1
0%
NCAA D2/D3
0%
Pro / Other

NCAAe Rankings

#9030
Forward overall
#342
Forward born in 2004
#743
in USHL

D1 Comparables

Dave Gust
USHL · 2012-13 · 0.77 PPG
→ Ohio State (0.38 D1 FR PPG)
0.45 Average
NCAAe PPG
Nathan Walker
USHL · 2012-13 · 0.93 PPG
→ Marian (0.21 D1 FR PPG)
0.54 Developing
NCAAe PPG
Frank Vatrano
NTDP-U18 · 2012-13 · 0.80 PPG
→ UMass
0.55 No data
NCAAe PPG
Adam Gilmour
USHL · 2012-13 · 0.73 PPG
→ Boston College (0.50 D1 FR PPG)
0.43 Average
NCAAe PPG
C.J. Suess
USHL · 2012-13 · 0.95 PPG
→ Minnesota (0.76 D1 FR PPG)
0.56 Strong
NCAAe PPG

D2/3 Comparables

Sascha Figi
Fitchburg State · 2016-17
1.429 Elite
actual D2/3 PPG
Nick Ford
Elmira · 2014-15
0.800 Strong
actual D2/3 PPG
Rihards Marenis
Aurora · 2013-14
1.000 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.