| Tpyo vs King | 86–67 | 56.21% |
| Tpyo vs Jin | 45–83 | 35.16% |
| Tpyo vs Kazuya | 60–55 | 52.17% |
| Tpyo vs Law | 47–61 | 43.52% |
| Tpyo vs Reina | 52–55 | 48.60% |
| Tpyo vs Bryan | 65–38 | 63.11% |
| Tpyo vs Steve | 47–46 | 50.54% |
| Tpyo vs Yoshimitsu | 45–45 | 50.00% |
| Tpyo vs Eddy | 40–50 | 44.44% |
| Tpyo vs Hwoarang | 54–35 | 60.67% |
| Tpyo vs Dragunov | 53–35 | 60.23% |
| Tpyo vs Paul | 39–44 | 46.99% |
| Tpyo vs Azucena | 43–34 | 55.84% |
| Tpyo vs Victor | 25–42 | 37.31% |
| Tpyo vs Xiaoyu | 27–38 | 41.54% |
| Tpyo vs Lili | 28–34 | 45.16% |
| Tpyo vs Lars | 36–25 | 59.02% |
| Tpyo vs Lee | 34–27 | 55.74% |
| Tpyo vs Jun | 31–25 | 55.36% |
| Tpyo vs Asuka | 31–24 | 56.36% |
| Tpyo vs Feng | 23–20 | 53.49% |
| Tpyo vs Devil Jin | 13–22 | 37.14% |
| Tpyo vs Raven | 14–19 | 42.42% |
| Tpyo vs Leo | 22–10 | 68.75% |
| Tpyo vs Nina | 18–13 | 58.06% |
| Tpyo vs Fahkumram | 13–18 | 41.94% |
| Tpyo vs Alisa | 14–16 | 46.67% |
| Tpyo vs Heihachi | 13–17 | 43.33% |
| Tpyo vs Claudio | 16–13 | 55.17% |
| Tpyo vs Leroy | 17–11 | 60.71% |
| Tpyo vs Zafina | 13–13 | 50.00% |
| Tpyo vs Jack-8 | 13–10 | 56.52% |
| Tpyo vs Kuma | 7–11 | 38.89% |
| Tpyo vs Lidia | 11–6 | 64.71% |
| Tpyo vs Anna | 9–7 | 56.25% |
| Tpyo vs Shaheen | 7–6 | 53.85% |
| Tpyo vs Panda | 3–5 | 37.50% |
| Tpyo vs Clive | 4–2 | 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.