| leather vs Kazuya | 128–150 | 46.04% |
| leather vs Armor King | 86–97 | 46.99% |
| leather vs Jin | 67–112 | 37.43% |
| leather vs Reina | 90–86 | 51.14% |
| leather vs Paul | 57–108 | 34.55% |
| leather vs Dragunov | 78–85 | 47.85% |
| leather vs King | 52–98 | 34.67% |
| leather vs Asuka | 64–80 | 44.44% |
| leather vs Bryan | 60–71 | 45.80% |
| leather vs Fahkumram | 60–68 | 46.88% |
| leather vs Lili | 51–73 | 41.13% |
| leather vs Steve | 43–69 | 38.39% |
| leather vs Hwoarang | 39–66 | 37.14% |
| leather vs Heihachi | 47–50 | 48.45% |
| leather vs Yoshimitsu | 39–49 | 44.32% |
| leather vs Miary Zo | 44–44 | 50.00% |
| leather vs Law | 36–40 | 47.37% |
| leather vs Devil Jin | 23–49 | 31.94% |
| leather vs Jun | 24–47 | 33.80% |
| leather vs Lee | 27–35 | 43.55% |
| leather vs Anna | 24–38 | 38.71% |
| leather vs Lars | 33–28 | 54.10% |
| leather vs Eddy | 32–29 | 52.46% |
| leather vs Claudio | 19–41 | 31.67% |
| leather vs Alisa | 19–39 | 32.76% |
| leather vs Xiaoyu | 16–39 | 29.09% |
| leather vs Victor | 22–30 | 42.31% |
| leather vs Clive | 19–31 | 38.00% |
| leather vs Nina | 13–36 | 26.53% |
| leather vs Azucena | 16–26 | 38.10% |
| leather vs Leroy | 16–25 | 39.02% |
| leather vs Jack-8 | 19–21 | 47.50% |
| leather vs Feng | 9–30 | 23.08% |
| leather vs Leo | 17–22 | 43.59% |
| leather vs Raven | 19–20 | 48.72% |
| leather vs Lidia | 14–23 | 37.84% |
| leather vs Kuma | 7–23 | 23.33% |
| leather vs Panda | 10–18 | 35.71% |
| leather vs Shaheen | 8–11 | 42.11% |
| leather vs Zafina | 3–6 | 33.33% |
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.