| Tomoyo vs Kazuya | 78–103 | 43.09% |
| Tomoyo vs Reina | 87–70 | 55.41% |
| Tomoyo vs King | 76–74 | 50.67% |
| Tomoyo vs Bryan | 62–78 | 44.29% |
| Tomoyo vs Jin | 58–81 | 41.73% |
| Tomoyo vs Lili | 78–54 | 59.09% |
| Tomoyo vs Dragunov | 51–81 | 38.64% |
| Tomoyo vs Hwoarang | 44–75 | 36.97% |
| Tomoyo vs Paul | 44–68 | 39.29% |
| Tomoyo vs Asuka | 58–49 | 54.21% |
| Tomoyo vs Law | 54–51 | 51.43% |
| Tomoyo vs Devil Jin | 48–54 | 47.06% |
| Tomoyo vs Steve | 47–54 | 46.53% |
| Tomoyo vs Feng | 36–42 | 46.15% |
| Tomoyo vs Yoshimitsu | 37–40 | 48.05% |
| Tomoyo vs Jun | 36–37 | 49.32% |
| Tomoyo vs Victor | 25–47 | 34.72% |
| Tomoyo vs Xiaoyu | 43–26 | 62.32% |
| Tomoyo vs Eddy | 22–36 | 37.93% |
| Tomoyo vs Leo | 27–30 | 47.37% |
| Tomoyo vs Heihachi | 18–39 | 31.58% |
| Tomoyo vs Anna | 35–21 | 62.50% |
| Tomoyo vs Alisa | 15–40 | 27.27% |
| Tomoyo vs Lars | 26–26 | 50.00% |
| Tomoyo vs Armor King | 22–28 | 44.00% |
| Tomoyo vs Clive | 24–25 | 48.98% |
| Tomoyo vs Azucena | 23–24 | 48.94% |
| Tomoyo vs Nina | 18–25 | 41.86% |
| Tomoyo vs Lidia | 26–17 | 60.47% |
| Tomoyo vs Leroy | 19–21 | 47.50% |
| Tomoyo vs Jack-8 | 11–28 | 28.21% |
| Tomoyo vs Lee | 18–21 | 46.15% |
| Tomoyo vs Claudio | 11–26 | 29.73% |
| Tomoyo vs Fahkumram | 12–23 | 34.29% |
| Tomoyo vs Raven | 16–18 | 47.06% |
| Tomoyo vs Kuma | 16–16 | 50.00% |
| Tomoyo vs Zafina | 8–19 | 29.63% |
| Tomoyo vs Shaheen | 10–9 | 52.63% |
| Tomoyo vs Panda | 6–9 | 40.00% |
| Tomoyo vs Miary Zo | 0–5 | 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.