| ThumbS vs Kazuya | 501–382 | 56.74% |
| ThumbS vs Bryan | 415–235 | 63.85% |
| ThumbS vs Jin | 335–230 | 59.29% |
| ThumbS vs Reina | 283–206 | 57.87% |
| ThumbS vs Heihachi | 242–203 | 54.38% |
| ThumbS vs Dragunov | 244–176 | 58.10% |
| ThumbS vs King | 260–142 | 64.68% |
| ThumbS vs Steve | 226–148 | 60.43% |
| ThumbS vs Law | 199–142 | 58.36% |
| ThumbS vs Hwoarang | 178–161 | 52.51% |
| ThumbS vs Paul | 191–146 | 56.68% |
| ThumbS vs Lee | 178–146 | 54.94% |
| ThumbS vs Yoshimitsu | 192–127–1 | 60.19% |
| ThumbS vs Devil Jin | 179–132 | 57.56% |
| ThumbS vs Armor King | 182–124 | 59.48% |
| ThumbS vs Lili | 177–125 | 58.61% |
| ThumbS vs Lidia | 111–135 | 45.12% |
| ThumbS vs Jun | 120–83 | 59.11% |
| ThumbS vs Azucena | 102–98 | 51.00% |
| ThumbS vs Asuka | 111–83 | 57.22% |
| ThumbS vs Nina | 120–67 | 64.17% |
| ThumbS vs Feng | 111–74 | 60.00% |
| ThumbS vs Miary Zo | 81–100 | 44.75% |
| ThumbS vs Lars | 91–87 | 51.12% |
| ThumbS vs Victor | 68–89 | 43.31% |
| ThumbS vs Leroy | 88–66 | 57.14% |
| ThumbS vs Eddy | 89–62 | 58.94% |
| ThumbS vs Claudio | 72–77 | 48.32% |
| ThumbS vs Xiaoyu | 88–58 | 60.27% |
| ThumbS vs Raven | 82–61 | 57.34% |
| ThumbS vs Alisa | 78–61 | 56.12% |
| ThumbS vs Leo | 66–57 | 53.66% |
| ThumbS vs Anna | 68–52 | 56.67% |
| ThumbS vs Jack-8 | 59–60 | 49.58% |
| ThumbS vs Fahkumram | 70–46 | 60.34% |
| ThumbS vs Shaheen | 46–63–1 | 42.20% |
| ThumbS vs Clive | 47–60 | 43.93% |
| ThumbS vs Zafina | 48–42 | 53.33% |
| ThumbS vs Kuma | 24–23 | 51.06% |
| ThumbS vs Panda | 19–22 | 46.34% |
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.