| UmaPuma vs King | 175–134 | 56.63% |
| UmaPuma vs Jin | 187–110 | 62.96% |
| UmaPuma vs Kazuya | 141–143 | 49.65% |
| UmaPuma vs Bryan | 151–83 | 64.53% |
| UmaPuma vs Hwoarang | 158–65 | 70.85% |
| UmaPuma vs Dragunov | 128–90 | 58.72% |
| UmaPuma vs Reina | 132–79–1 | 62.56% |
| UmaPuma vs Law | 132–68 | 66.00% |
| UmaPuma vs Steve | 117–73 | 61.58% |
| UmaPuma vs Lidia | 110–74 | 59.78% |
| UmaPuma vs Asuka | 100–78 | 56.18% |
| UmaPuma vs Lars | 108–58 | 65.06% |
| UmaPuma vs Jun | 99–61 | 61.88% |
| UmaPuma vs Azucena | 99–57 | 63.46% |
| UmaPuma vs Eddy | 98–55 | 64.05% |
| UmaPuma vs Lee | 80–63 | 55.94% |
| UmaPuma vs Paul | 80–59 | 57.55% |
| UmaPuma vs Yoshimitsu | 79–59 | 57.25% |
| UmaPuma vs Nina | 62–66 | 48.44% |
| UmaPuma vs Heihachi | 72–49 | 59.50% |
| UmaPuma vs Fahkumram | 65–47 | 58.04% |
| UmaPuma vs Lili | 57–53 | 51.82% |
| UmaPuma vs Victor | 67–39 | 63.21% |
| UmaPuma vs Feng | 52–48 | 52.00% |
| UmaPuma vs Leroy | 50–45 | 52.63% |
| UmaPuma vs Leo | 45–42 | 51.72% |
| UmaPuma vs Anna | 46–40 | 53.49% |
| UmaPuma vs Xiaoyu | 48–37 | 56.47% |
| UmaPuma vs Devil Jin | 46–39 | 54.12% |
| UmaPuma vs Clive | 50–34 | 59.52% |
| UmaPuma vs Raven | 43–34 | 55.84% |
| UmaPuma vs Alisa | 40–31 | 56.34% |
| UmaPuma vs Armor King | 39–30 | 56.52% |
| UmaPuma vs Zafina | 38–29 | 56.72% |
| UmaPuma vs Jack-8 | 33–25 | 56.90% |
| UmaPuma vs Shaheen | 19–25 | 43.18% |
| UmaPuma vs Kuma | 18–24 | 42.86% |
| UmaPuma vs Miary Zo | 26–13 | 66.67% |
| UmaPuma vs Claudio | 22–14 | 61.11% |
| UmaPuma vs Panda | 10–8 | 55.56% |
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.