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Jojo Tanaka-Campbell Elite Prospects ↗

Position: Forward DOB: 2001-01-11 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
2016-17 Cowichan Valley Capitals BCHL 2 0 0 0 0.000 — — — —
2017-18 Cowichan Valley Capitals BCHL 7 0 0 0 0.000 — — — —
2018-19 Cowichan Valley Capitals BCHL 6 1 0 1 0.167 0.0642 0.0679 0.2426 0.2564
2019-20 Vernon Vipers BCHL 52 7 19 26 0.500 0.1926 0.1926 0.7277 0.7277
2020-21 Vernon Vipers BCHL 20 6 9 15 0.750 0.2890 0.2890 1.0915 1.0915
2021-22 Vernon Vipers BCHL 51 9 22 31 0.608 0.2342 0.2122 0.8845 0.8016
■ 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 Yale D1 ECAC SR 4 0 1 1 0.250
2024-25 Yale D1 ECAC JR 10 0 0 0 0.000
2023-24 Yale D1 ECAC SO 11 1 1 2 0.182
2022-23 Yale D1 ECAC FR 2 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
10%
NCAA D2/D3
52%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#23476
Forward overall
#1175
Forward born in 2001
#1211
in BCHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Corey Kennedy
Neumann · 2015-16
0.500 Average
actual D2/3 PPG
Mason Baptista
St. Norbert · 2010-11
0.464 Average
actual D2/3 PPG
Shawn Metheral
Wentworth · 2000-01
1.069 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.