| TTV_dont_mash vs Hwoarang | 12–15 | 44.44% |
| TTV_dont_mash vs Reina | 14–12 | 53.85% |
| TTV_dont_mash vs King | 15–9 | 62.50% |
| TTV_dont_mash vs Steve | 9–14 | 39.13% |
| TTV_dont_mash vs Jin | 5–13 | 27.78% |
| TTV_dont_mash vs Eddy | 8–9 | 47.06% |
| TTV_dont_mash vs Yoshimitsu | 10–6 | 62.50% |
| TTV_dont_mash vs Jun | 5–11 | 31.25% |
| TTV_dont_mash vs Bryan | 3–12 | 20.00% |
| TTV_dont_mash vs Kazuya | 4–11 | 26.67% |
| TTV_dont_mash vs Azucena | 6–8 | 42.86% |
| TTV_dont_mash vs Lili | 6–7 | 46.15% |
| TTV_dont_mash vs Victor | 8–5 | 61.54% |
| TTV_dont_mash vs Paul | 7–5 | 58.33% |
| TTV_dont_mash vs Leo | 3–8 | 27.27% |
| TTV_dont_mash vs Lars | 5–5 | 50.00% |
| TTV_dont_mash vs Nina | 4–6 | 40.00% |
| TTV_dont_mash vs Dragunov | 7–2 | 77.78% |
| TTV_dont_mash vs Jack-8 | 4–4 | 50.00% |
| TTV_dont_mash vs Law | 4–2 | 66.67% |
| TTV_dont_mash vs Asuka | 5–1 | 83.33% |
| TTV_dont_mash vs Xiaoyu | 2–4 | 33.33% |
| TTV_dont_mash vs Raven | 4–2 | 66.67% |
| TTV_dont_mash vs Lee | 1–4 | 20.00% |
| TTV_dont_mash vs Alisa | 2–2 | 50.00% |
| TTV_dont_mash vs Shaheen | 1–3 | 25.00% |
| TTV_dont_mash vs Lidia | 4–0 | 100.00% |
| TTV_dont_mash vs Zafina | 2–1 | 66.67% |
| TTV_dont_mash vs Feng | 2–1 | 66.67% |
| TTV_dont_mash vs Leroy | 2–1 | 66.67% |
| TTV_dont_mash vs Panda | 2–0 | 100.00% |
| TTV_dont_mash vs Kuma | 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.