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Owen Campbell Elite Prospects ↗

Position: Forward DOB: 1996-04-23 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
2014-15 South Shore Kings USPHL-Premier-Classic 48 19 20 39 0.812 0.2281 0.2400 0.6692 0.7042
2015-16 South Shore Kings USPHL-Premier-Classic 41 18 14 32 0.780 0.2191 0.2198 0.6428 0.6449
■ 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
2019-20 Skidmore D1 — SR 22 8 5 13 0.591
2019-20 Skidmore D3 SUNYAC SR 22 8 5 13 0.591
2018-19 Skidmore D1 — JR 25 4 5 9 0.360
2018-19 Skidmore D3 SUNYAC JR 25 4 5 9 0.360
2017-18 Skidmore D3 SUNYAC SO 25 3 5 8 0.320
2016-17 Skidmore D3 SUNYAC FR 24 7 5 12 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.50
2016-17 · Skidmore
+156.3% vs. projection

NCAAe Rankings

#24823
Forward overall
#993
Forward born in 1996
#67
in USPHL-Premier-Classic

D1 Comparables

Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.22 Developing
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.23 Developing
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.15 Developing
NCAAe PPG

D2/3 Comparables

Tyler Voigt
Tufts · 2010-11
0.960 Strong
actual D2/3 PPG
Colby Audette
Becker · 2017-18
0.650 Strong
actual D2/3 PPG
Brian Doust
Fredonia · 2009-10
0.684 Strong
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.