| TyTy vs Kazuya | 31–33 | 48.44% |
| TyTy vs Bryan | 23–27 | 46.00% |
| TyTy vs Reina | 22–25 | 46.81% |
| TyTy vs King | 18–28 | 39.13% |
| TyTy vs Jin | 27–19 | 58.70% |
| TyTy vs Law | 21–19 | 52.50% |
| TyTy vs Dragunov | 22–17 | 56.41% |
| TyTy vs Lars | 24–13 | 64.86% |
| TyTy vs Azucena | 19–14 | 57.58% |
| TyTy vs Lili | 16–14 | 53.33% |
| TyTy vs Lee | 9–21 | 30.00% |
| TyTy vs Jun | 16–14 | 53.33% |
| TyTy vs Hwoarang | 11–16 | 40.74% |
| TyTy vs Steve | 20–7 | 74.07% |
| TyTy vs Devil Jin | 14–11 | 56.00% |
| TyTy vs Eddy | 12–13 | 48.00% |
| TyTy vs Paul | 9–13 | 40.91% |
| TyTy vs Leo | 9–11 | 45.00% |
| TyTy vs Xiaoyu | 8–10 | 44.44% |
| TyTy vs Heihachi | 6–11 | 35.29% |
| TyTy vs Anna | 14–3 | 82.35% |
| TyTy vs Nina | 9–7 | 56.25% |
| TyTy vs Yoshimitsu | 8–7 | 53.33% |
| TyTy vs Feng | 7–6 | 53.85% |
| TyTy vs Victor | 8–5 | 61.54% |
| TyTy vs Asuka | 6–6 | 50.00% |
| TyTy vs Alisa | 4–8 | 33.33% |
| TyTy vs Zafina | 6–5 | 54.55% |
| TyTy vs Miary Zo | 3–8 | 27.27% |
| TyTy vs Lidia | 5–4 | 55.56% |
| TyTy vs Claudio | 5–3 | 62.50% |
| TyTy vs Leroy | 4–4 | 50.00% |
| TyTy vs Kuma | 3–4 | 42.86% |
| TyTy vs Clive | 4–3 | 57.14% |
| TyTy vs Armor King | 6–1 | 85.71% |
| TyTy vs Jack-8 | 1–4 | 20.00% |
| TyTy vs Shaheen | 1–2 | 33.33% |
| TyTy vs Panda | 2–1 | 66.67% |
| TyTy vs Raven | 2–1 | 66.67% |
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.