| SKIP vs Dragunov | 353–388 | 47.64% |
| SKIP vs Jin | 321–400 | 44.52% |
| SKIP vs Kazuya | 313–360 | 46.51% |
| SKIP vs King | 203–272 | 42.74% |
| SKIP vs Bryan | 207–266 | 43.76% |
| SKIP vs Reina | 223–204 | 52.22% |
| SKIP vs Steve | 198–224 | 46.92% |
| SKIP vs Victor | 163–256 | 38.90% |
| SKIP vs Paul | 117–199 | 37.03% |
| SKIP vs Law | 97–192 | 33.56% |
| SKIP vs Heihachi | 118–166 | 41.55% |
| SKIP vs Hwoarang | 122–158 | 43.57% |
| SKIP vs Jun | 97–170 | 36.33% |
| SKIP vs Devil Jin | 95–165 | 36.54% |
| SKIP vs Lili | 107–151 | 41.47% |
| SKIP vs Yoshimitsu | 92–164 | 35.94% |
| SKIP vs Asuka | 98–131 | 42.79% |
| SKIP vs Xiaoyu | 87–119 | 42.23% |
| SKIP vs Lars | 76–128 | 37.25% |
| SKIP vs Lee | 70–113 | 38.25% |
| SKIP vs Lidia | 88–92 | 48.89% |
| SKIP vs Feng | 45–129 | 25.86% |
| SKIP vs Alisa | 63–110 | 36.42% |
| SKIP vs Azucena | 79–88 | 47.31% |
| SKIP vs Claudio | 37–94 | 28.24% |
| SKIP vs Eddy | 45–81 | 35.71% |
| SKIP vs Leroy | 39–83 | 31.97% |
| SKIP vs Jack-8 | 47–74 | 38.84% |
| SKIP vs Nina | 42–79 | 34.71% |
| SKIP vs Raven | 43–67 | 39.09% |
| SKIP vs Shaheen | 39–67 | 36.79% |
| SKIP vs Leo | 34–62 | 35.42% |
| SKIP vs Kuma | 37–59 | 38.54% |
| SKIP vs Zafina | 22–35 | 38.60% |
| SKIP vs Panda | 12–17 | 41.38% |
| SKIP vs Clive | 3–8 | 27.27% |
| SKIP vs Fahkumram | 7–2 | 77.78% |
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.