| stillcoldowl vs Jin | 101–138 | 42.26% |
| stillcoldowl vs Kazuya | 110–116 | 48.67% |
| stillcoldowl vs Dragunov | 118–105 | 52.91% |
| stillcoldowl vs King | 96–107 | 47.29% |
| stillcoldowl vs Reina | 78–90 | 46.43% |
| stillcoldowl vs Steve | 72–90 | 44.44% |
| stillcoldowl vs Bryan | 64–84 | 43.24% |
| stillcoldowl vs Paul | 48–88 | 35.29% |
| stillcoldowl vs Law | 63–57 | 52.50% |
| stillcoldowl vs Jun | 59–52 | 53.15% |
| stillcoldowl vs Hwoarang | 43–60 | 41.75% |
| stillcoldowl vs Lili | 39–63 | 38.24% |
| stillcoldowl vs Asuka | 59–42 | 58.42% |
| stillcoldowl vs Yoshimitsu | 34–59 | 36.56% |
| stillcoldowl vs Clive | 34–48 | 41.46% |
| stillcoldowl vs Victor | 32–47 | 40.51% |
| stillcoldowl vs Lars | 26–48 | 35.14% |
| stillcoldowl vs Devil Jin | 22–48 | 31.43% |
| stillcoldowl vs Azucena | 39–30 | 56.52% |
| stillcoldowl vs Feng | 26–40 | 39.39% |
| stillcoldowl vs Leo | 35–31 | 53.03% |
| stillcoldowl vs Xiaoyu | 21–33 | 38.89% |
| stillcoldowl vs Jack-8 | 17–36 | 32.08% |
| stillcoldowl vs Alisa | 19–33 | 36.54% |
| stillcoldowl vs Heihachi | 18–34 | 34.62% |
| stillcoldowl vs Eddy | 19–32 | 37.25% |
| stillcoldowl vs Claudio | 22–23 | 48.89% |
| stillcoldowl vs Shaheen | 17–23 | 42.50% |
| stillcoldowl vs Lee | 14–26 | 35.00% |
| stillcoldowl vs Nina | 12–22 | 35.29% |
| stillcoldowl vs Kuma | 15–17 | 46.88% |
| stillcoldowl vs Leroy | 17–15 | 53.12% |
| stillcoldowl vs Lidia | 11–17 | 39.29% |
| stillcoldowl vs Anna | 9–17 | 34.62% |
| stillcoldowl vs Raven | 8–13 | 38.10% |
| stillcoldowl vs Zafina | 1–9 | 10.00% |
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.