| thx_mok_chang vs Paul | 69–50 | 57.98% |
| thx_mok_chang vs Bryan | 51–59 | 46.36% |
| thx_mok_chang vs Kazuya | 55–44 | 55.56% |
| thx_mok_chang vs Reina | 53–43 | 55.21% |
| thx_mok_chang vs Hwoarang | 57–37 | 60.64% |
| thx_mok_chang vs Dragunov | 39–48 | 44.83% |
| thx_mok_chang vs Jin | 41–43–1 | 48.81% |
| thx_mok_chang vs King | 37–40 | 48.05% |
| thx_mok_chang vs Victor | 35–40 | 46.67% |
| thx_mok_chang vs Lili | 42–29 | 59.15% |
| thx_mok_chang vs Steve | 26–39 | 40.00% |
| thx_mok_chang vs Azucena | 40–25 | 61.54% |
| thx_mok_chang vs Jun | 34–28 | 54.84% |
| thx_mok_chang vs Devil Jin | 25–32 | 43.86% |
| thx_mok_chang vs Claudio | 32–25 | 56.14% |
| thx_mok_chang vs Asuka | 17–39 | 30.36% |
| thx_mok_chang vs Heihachi | 29–22 | 56.86% |
| thx_mok_chang vs Lars | 21–28 | 42.86% |
| thx_mok_chang vs Clive | 17–30 | 36.17% |
| thx_mok_chang vs Feng | 22–24 | 47.83% |
| thx_mok_chang vs Lee | 25–21 | 54.35% |
| thx_mok_chang vs Yoshimitsu | 19–24 | 44.19% |
| thx_mok_chang vs Xiaoyu | 22–20 | 52.38% |
| thx_mok_chang vs Law | 21–20 | 51.22% |
| thx_mok_chang vs Alisa | 24–17 | 58.54% |
| thx_mok_chang vs Jack-8 | 20–17 | 54.05% |
| thx_mok_chang vs Eddy | 12–23 | 34.29% |
| thx_mok_chang vs Nina | 13–18 | 41.94% |
| thx_mok_chang vs Shaheen | 12–18 | 40.00% |
| thx_mok_chang vs Leo | 12–17 | 41.38% |
| thx_mok_chang vs Kuma | 15–11 | 57.69% |
| thx_mok_chang vs Leroy | 10–15 | 40.00% |
| thx_mok_chang vs Raven | 5–9–1 | 35.71% |
| thx_mok_chang vs Lidia | 5–10 | 33.33% |
| thx_mok_chang vs Panda | 8–2 | 80.00% |
| thx_mok_chang vs Zafina | 3–6 | 33.33% |
| thx_mok_chang vs Anna | 0–1 | 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.