| ともぱ@PMT vs Reina | 53–20 | 72.60% |
| ともぱ@PMT vs Lili | 40–30 | 57.14% |
| ともぱ@PMT vs Bryan | 36–26 | 58.06% |
| ともぱ@PMT vs King | 42–16 | 72.41% |
| ともぱ@PMT vs Paul | 33–24 | 57.89% |
| ともぱ@PMT vs Hwoarang | 32–24 | 57.14% |
| ともぱ@PMT vs Heihachi | 38–18 | 67.86% |
| ともぱ@PMT vs Asuka | 36–18 | 66.67% |
| ともぱ@PMT vs Jun | 31–23 | 57.41% |
| ともぱ@PMT vs Jin | 33–20 | 62.26% |
| ともぱ@PMT vs Kazuya | 31–20 | 60.78% |
| ともぱ@PMT vs Steve | 29–20 | 59.18% |
| ともぱ@PMT vs Victor | 31–17 | 64.58% |
| ともぱ@PMT vs Law | 18–20 | 47.37% |
| ともぱ@PMT vs Azucena | 21–17 | 55.26% |
| ともぱ@PMT vs Feng | 20–14 | 58.82% |
| ともぱ@PMT vs Dragunov | 14–20 | 41.18% |
| ともぱ@PMT vs Xiaoyu | 23–8 | 74.19% |
| ともぱ@PMT vs Nina | 14–17 | 45.16% |
| ともぱ@PMT vs Leo | 20–10 | 66.67% |
| ともぱ@PMT vs Alisa | 13–17 | 43.33% |
| ともぱ@PMT vs Lars | 10–14 | 41.67% |
| ともぱ@PMT vs Zafina | 12–9 | 57.14% |
| ともぱ@PMT vs Raven | 13–8 | 61.90% |
| ともぱ@PMT vs Jack-8 | 14–6 | 70.00% |
| ともぱ@PMT vs Shaheen | 15–5 | 75.00% |
| ともぱ@PMT vs Yoshimitsu | 7–11 | 38.89% |
| ともぱ@PMT vs Claudio | 10–8 | 55.56% |
| ともぱ@PMT vs Lee | 11–7 | 61.11% |
| ともぱ@PMT vs Devil Jin | 6–9 | 40.00% |
| ともぱ@PMT vs Leroy | 6–7 | 46.15% |
| ともぱ@PMT vs Eddy | 5–7 | 41.67% |
| ともぱ@PMT vs Kuma | 6–5 | 54.55% |
| ともぱ@PMT vs Lidia | 8–0 | 100.00% |
| ともぱ@PMT vs Clive | 2–6 | 25.00% |
| ともぱ@PMT vs Panda | 1–2 | 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.