| 801-JoJo vs Kazuya | 64–52 | 55.17% |
| 801-JoJo vs King | 65–45 | 59.09% |
| 801-JoJo vs Bryan | 56–44 | 56.00% |
| 801-JoJo vs Jin | 45–33 | 57.69% |
| 801-JoJo vs Steve | 44–29 | 60.27% |
| 801-JoJo vs Reina | 44–29 | 60.27% |
| 801-JoJo vs Heihachi | 40–30 | 57.14% |
| 801-JoJo vs Fahkumram | 30–30 | 50.00% |
| 801-JoJo vs Dragunov | 37–20 | 64.91% |
| 801-JoJo vs Hwoarang | 29–22 | 56.86% |
| 801-JoJo vs Paul | 20–27 | 42.55% |
| 801-JoJo vs Lili | 18–29 | 38.30% |
| 801-JoJo vs Jun | 25–19 | 56.82% |
| 801-JoJo vs Yoshimitsu | 21–21 | 50.00% |
| 801-JoJo vs Clive | 28–13 | 68.29% |
| 801-JoJo vs Law | 19–21 | 47.50% |
| 801-JoJo vs Armor King | 26–13 | 66.67% |
| 801-JoJo vs Azucena | 25–12 | 67.57% |
| 801-JoJo vs Lidia | 18–17 | 51.43% |
| 801-JoJo vs Lee | 14–18 | 43.75% |
| 801-JoJo vs Devil Jin | 17–14 | 54.84% |
| 801-JoJo vs Raven | 20–10 | 66.67% |
| 801-JoJo vs Eddy | 10–20 | 33.33% |
| 801-JoJo vs Xiaoyu | 14–14 | 50.00% |
| 801-JoJo vs Asuka | 21–7 | 75.00% |
| 801-JoJo vs Victor | 16–12 | 57.14% |
| 801-JoJo vs Feng | 3–22 | 12.00% |
| 801-JoJo vs Lars | 13–10 | 56.52% |
| 801-JoJo vs Nina | 12–11 | 52.17% |
| 801-JoJo vs Jack-8 | 17–5 | 77.27% |
| 801-JoJo vs Alisa | 8–14 | 36.36% |
| 801-JoJo vs Anna | 9–13 | 40.91% |
| 801-JoJo vs Leo | 12–9 | 57.14% |
| 801-JoJo vs Claudio | 9–9 | 50.00% |
| 801-JoJo vs Shaheen | 9–9 | 50.00% |
| 801-JoJo vs Leroy | 7–11 | 38.89% |
| 801-JoJo vs Panda | 3–5 | 37.50% |
| 801-JoJo vs Zafina | 4–2 | 66.67% |
| 801-JoJo vs Kuma | 3–2 | 60.00% |
| 801-JoJo vs Miary Zo | 2–0 | 100.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.