| ThankYou vs Jin | 25–44 | 36.23% |
| ThankYou vs Reina | 22–39 | 36.07% |
| ThankYou vs King | 26–34 | 43.33% |
| ThankYou vs Hwoarang | 17–31 | 35.42% |
| ThankYou vs Dragunov | 12–31 | 27.91% |
| ThankYou vs Lili | 26–15 | 63.41% |
| ThankYou vs Yoshimitsu | 22–18 | 55.00% |
| ThankYou vs Kazuya | 13–27 | 32.50% |
| ThankYou vs Paul | 19–20 | 48.72% |
| ThankYou vs Jun | 16–19 | 45.71% |
| ThankYou vs Steve | 15–17 | 46.88% |
| ThankYou vs Law | 13–16 | 44.83% |
| ThankYou vs Eddy | 12–17 | 41.38% |
| ThankYou vs Bryan | 16–12 | 57.14% |
| ThankYou vs Devil Jin | 8–18 | 30.77% |
| ThankYou vs Feng | 8–18 | 30.77% |
| ThankYou vs Nina | 14–11 | 56.00% |
| ThankYou vs Azucena | 12–11 | 52.17% |
| ThankYou vs Xiaoyu | 5–16 | 23.81% |
| ThankYou vs Victor | 6–15 | 28.57% |
| ThankYou vs Asuka | 7–12 | 36.84% |
| ThankYou vs Claudio | 10–9 | 52.63% |
| ThankYou vs Lee | 8–9 | 47.06% |
| ThankYou vs Lars | 8–8 | 50.00% |
| ThankYou vs Alisa | 4–10 | 28.57% |
| ThankYou vs Kuma | 8–6 | 57.14% |
| ThankYou vs Jack-8 | 5–8 | 38.46% |
| ThankYou vs Leo | 4–3 | 57.14% |
| ThankYou vs Leroy | 2–4 | 33.33% |
| ThankYou vs Shaheen | 2–3 | 40.00% |
| ThankYou vs Panda | 0–4 | 0.00% |
| ThankYou vs Zafina | 2–1 | 66.67% |
| ThankYou vs Raven | 2–1 | 66.67% |
| ThankYou vs Clive | 1–2 | 33.33% |
| ThankYou vs Lidia | 0–2 | 0.00% |
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.