| 3ng1ng3ng vs Kazuya | 136–119 | 53.33% |
| 3ng1ng3ng vs Bryan | 116–79 | 59.49% |
| 3ng1ng3ng vs Jin | 116–75–1 | 60.73% |
| 3ng1ng3ng vs Steve | 118–52 | 69.41% |
| 3ng1ng3ng vs King | 80–82 | 49.38% |
| 3ng1ng3ng vs Lili | 101–60 | 62.73% |
| 3ng1ng3ng vs Dragunov | 100–57 | 63.69% |
| 3ng1ng3ng vs Reina | 115–36 | 76.16% |
| 3ng1ng3ng vs Hwoarang | 74–48 | 60.66% |
| 3ng1ng3ng vs Law | 68–52 | 56.67% |
| 3ng1ng3ng vs Devil Jin | 59–57 | 50.86% |
| 3ng1ng3ng vs Lee | 66–44 | 60.00% |
| 3ng1ng3ng vs Lidia | 68–36 | 65.38% |
| 3ng1ng3ng vs Yoshimitsu | 59–43 | 57.84% |
| 3ng1ng3ng vs Lars | 53–49 | 51.96% |
| 3ng1ng3ng vs Heihachi | 58–44 | 56.86% |
| 3ng1ng3ng vs Clive | 51–49 | 51.00% |
| 3ng1ng3ng vs Paul | 51–44–1 | 53.68% |
| 3ng1ng3ng vs Asuka | 51–43 | 54.26% |
| 3ng1ng3ng vs Nina | 53–40 | 56.99% |
| 3ng1ng3ng vs Jun | 54–39 | 58.06% |
| 3ng1ng3ng vs Eddy | 61–27 | 69.32% |
| 3ng1ng3ng vs Xiaoyu | 39–39 | 50.00% |
| 3ng1ng3ng vs Leo | 49–28 | 63.64% |
| 3ng1ng3ng vs Raven | 37–40 | 48.05% |
| 3ng1ng3ng vs Victor | 54–19 | 73.97% |
| 3ng1ng3ng vs Azucena | 42–26 | 61.76% |
| 3ng1ng3ng vs Feng | 29–37 | 43.94% |
| 3ng1ng3ng vs Leroy | 39–24 | 61.90% |
| 3ng1ng3ng vs Claudio | 26–33 | 44.07% |
| 3ng1ng3ng vs Zafina | 29–29 | 50.00% |
| 3ng1ng3ng vs Alisa | 38–19 | 66.67% |
| 3ng1ng3ng vs Anna | 23–32 | 41.82% |
| 3ng1ng3ng vs Shaheen | 26–25 | 50.98% |
| 3ng1ng3ng vs Jack-8 | 23–26 | 46.94% |
| 3ng1ng3ng vs Fahkumram | 21–21 | 50.00% |
| 3ng1ng3ng vs Armor King | 24–15 | 61.54% |
| 3ng1ng3ng vs Kuma | 19–13 | 59.38% |
| 3ng1ng3ng vs Panda | 7–15 | 31.82% |
| 3ng1ng3ng vs Miary Zo | 2–8 | 20.00% |
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.