| m_joy_r vs King | 138–107 | 56.33% |
| m_joy_r vs Hwoarang | 119–90 | 56.94% |
| m_joy_r vs Jin | 103–94 | 52.28% |
| m_joy_r vs Kazuya | 104–90 | 53.61% |
| m_joy_r vs Reina | 114–72 | 61.29% |
| m_joy_r vs Steve | 111–72 | 60.66% |
| m_joy_r vs Bryan | 96–83 | 53.63% |
| m_joy_r vs Law | 64–77 | 45.39% |
| m_joy_r vs Dragunov | 72–46 | 61.02% |
| m_joy_r vs Yoshimitsu | 53–57 | 48.18% |
| m_joy_r vs Lili | 42–64 | 39.62% |
| m_joy_r vs Lars | 49–55 | 47.12% |
| m_joy_r vs Paul | 54–49 | 52.43% |
| m_joy_r vs Azucena | 47–49 | 48.96% |
| m_joy_r vs Xiaoyu | 46–49 | 48.42% |
| m_joy_r vs Lee | 36–52 | 40.91% |
| m_joy_r vs Asuka | 34–44 | 43.59% |
| m_joy_r vs Victor | 33–41 | 44.59% |
| m_joy_r vs Heihachi | 31–42 | 42.47% |
| m_joy_r vs Jun | 27–44 | 38.03% |
| m_joy_r vs Eddy | 32–38 | 45.71% |
| m_joy_r vs Feng | 38–21 | 64.41% |
| m_joy_r vs Nina | 33–26 | 55.93% |
| m_joy_r vs Devil Jin | 33–24 | 57.89% |
| m_joy_r vs Jack-8 | 26–26 | 50.00% |
| m_joy_r vs Leo | 27–22 | 55.10% |
| m_joy_r vs Claudio | 22–26 | 45.83% |
| m_joy_r vs Kuma | 23–25 | 47.92% |
| m_joy_r vs Lidia | 19–27 | 41.30% |
| m_joy_r vs Raven | 18–27 | 40.00% |
| m_joy_r vs Alisa | 18–25 | 41.86% |
| m_joy_r vs Leroy | 14–29 | 32.56% |
| m_joy_r vs Shaheen | 16–24 | 40.00% |
| m_joy_r vs Zafina | 16–14 | 53.33% |
| m_joy_r vs Clive | 10–14 | 41.67% |
| m_joy_r vs Fahkumram | 12–8 | 60.00% |
| m_joy_r vs Anna | 7–11 | 38.89% |
| m_joy_r vs Armor King | 6–7 | 46.15% |
| m_joy_r vs Panda | 4–5 | 44.44% |
| m_joy_r vs Miary Zo | 0–6 | 0.00% |
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.