| thighclaps vs Heihachi | 61–50 | 54.95% |
| thighclaps vs Reina | 62–42 | 59.62% |
| thighclaps vs Kazuya | 56–41 | 57.73% |
| thighclaps vs Jin | 38–39 | 49.35% |
| thighclaps vs Bryan | 41–36 | 53.25% |
| thighclaps vs King | 43–32 | 57.33% |
| thighclaps vs Yoshimitsu | 33–31 | 51.56% |
| thighclaps vs Hwoarang | 18–33 | 35.29% |
| thighclaps vs Jun | 29–22 | 56.86% |
| thighclaps vs Dragunov | 20–28 | 41.67% |
| thighclaps vs Steve | 23–24 | 48.94% |
| thighclaps vs Lee | 24–23 | 51.06% |
| thighclaps vs Law | 22–22 | 50.00% |
| thighclaps vs Lili | 23–21 | 52.27% |
| thighclaps vs Asuka | 22–19 | 53.66% |
| thighclaps vs Lars | 18–23 | 43.90% |
| thighclaps vs Devil Jin | 15–25 | 37.50% |
| thighclaps vs Azucena | 19–21 | 47.50% |
| thighclaps vs Eddy | 28–10 | 73.68% |
| thighclaps vs Paul | 15–22 | 40.54% |
| thighclaps vs Xiaoyu | 18–18 | 50.00% |
| thighclaps vs Feng | 18–15 | 54.55% |
| thighclaps vs Victor | 22–11 | 66.67% |
| thighclaps vs Leo | 16–12 | 57.14% |
| thighclaps vs Jack-8 | 12–15 | 44.44% |
| thighclaps vs Alisa | 11–14 | 44.00% |
| thighclaps vs Clive | 13–12 | 52.00% |
| thighclaps vs Raven | 8–13 | 38.10% |
| thighclaps vs Kuma | 9–11 | 45.00% |
| thighclaps vs Lidia | 12–7 | 63.16% |
| thighclaps vs Nina | 7–9 | 43.75% |
| thighclaps vs Leroy | 7–8 | 46.67% |
| thighclaps vs Zafina | 6–7 | 46.15% |
| thighclaps vs Claudio | 4–5 | 44.44% |
| thighclaps vs Shaheen | 4–5 | 44.44% |
| thighclaps vs Panda | 2–7 | 22.22% |
| thighclaps vs Fahkumram | 3–4 | 42.86% |
| thighclaps vs Anna | 2–4 | 33.33% |
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.