| thoma683 vs Bryan | 58–65 | 47.15% |
| thoma683 vs King | 54–62 | 46.55% |
| thoma683 vs Kazuya | 53–48 | 52.48% |
| thoma683 vs Reina | 59–34 | 63.44% |
| thoma683 vs Jin | 45–47 | 48.91% |
| thoma683 vs Steve | 50–41 | 54.95% |
| thoma683 vs Heihachi | 45–41 | 52.33% |
| thoma683 vs Dragunov | 40–45 | 47.06% |
| thoma683 vs Hwoarang | 23–49 | 31.94% |
| thoma683 vs Lili | 33–39 | 45.83% |
| thoma683 vs Clive | 32–40 | 44.44% |
| thoma683 vs Azucena | 33–28 | 54.10% |
| thoma683 vs Law | 23–34 | 40.35% |
| thoma683 vs Paul | 30–19 | 61.22% |
| thoma683 vs Jun | 20–27 | 42.55% |
| thoma683 vs Lee | 23–19 | 54.76% |
| thoma683 vs Eddy | 19–23 | 45.24% |
| thoma683 vs Yoshimitsu | 19–21 | 47.50% |
| thoma683 vs Leroy | 17–22 | 43.59% |
| thoma683 vs Victor | 16–20 | 44.44% |
| thoma683 vs Lars | 15–20 | 42.86% |
| thoma683 vs Armor King | 11–17 | 39.29% |
| thoma683 vs Asuka | 14–13 | 51.85% |
| thoma683 vs Nina | 13–14 | 48.15% |
| thoma683 vs Lidia | 9–18 | 33.33% |
| thoma683 vs Jack-8 | 8–17 | 32.00% |
| thoma683 vs Devil Jin | 11–14 | 44.00% |
| thoma683 vs Leo | 10–15 | 40.00% |
| thoma683 vs Xiaoyu | 11–12 | 47.83% |
| thoma683 vs Raven | 9–12 | 42.86% |
| thoma683 vs Alisa | 9–11 | 45.00% |
| thoma683 vs Feng | 4–11 | 26.67% |
| thoma683 vs Claudio | 8–5 | 61.54% |
| thoma683 vs Shaheen | 2–11 | 15.38% |
| thoma683 vs Zafina | 4–7 | 36.36% |
| thoma683 vs Kuma | 1–6 | 14.29% |
| thoma683 vs Panda | 3–2 | 60.00% |
| thoma683 vs Fahkumram | 4–1 | 80.00% |
| thoma683 vs Miary Zo | 2–1 | 66.67% |
| thoma683 vs Anna | 2–0 | 100.00% |
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.