| TOKITA vs Kazuya | 123–114 | 51.90% |
| TOKITA vs Bryan | 83–95 | 46.63% |
| TOKITA vs Jin | 81–77 | 51.27% |
| TOKITA vs Heihachi | 60–69 | 46.51% |
| TOKITA vs Reina | 59–61 | 49.17% |
| TOKITA vs Hwoarang | 51–60 | 45.95% |
| TOKITA vs King | 66–42 | 61.11% |
| TOKITA vs Armor King | 43–56 | 43.43% |
| TOKITA vs Dragunov | 55–43 | 56.12% |
| TOKITA vs Law | 38–48 | 44.19% |
| TOKITA vs Steve | 46–40 | 53.49% |
| TOKITA vs Devil Jin | 42–43 | 49.41% |
| TOKITA vs Paul | 24–47 | 33.80% |
| TOKITA vs Lili | 29–42 | 40.85% |
| TOKITA vs Lee | 23–36 | 38.98% |
| TOKITA vs Yoshimitsu | 18–39 | 31.58% |
| TOKITA vs Fahkumram | 38–19 | 66.67% |
| TOKITA vs Asuka | 29–25 | 53.70% |
| TOKITA vs Azucena | 21–30 | 41.18% |
| TOKITA vs Clive | 32–17 | 65.31% |
| TOKITA vs Xiaoyu | 24–23 | 51.06% |
| TOKITA vs Lars | 27–19 | 58.70% |
| TOKITA vs Jun | 21–23 | 47.73% |
| TOKITA vs Nina | 24–17 | 58.54% |
| TOKITA vs Feng | 17–23 | 42.50% |
| TOKITA vs Eddy | 26–13 | 66.67% |
| TOKITA vs Anna | 16–23 | 41.03% |
| TOKITA vs Lidia | 18–16 | 52.94% |
| TOKITA vs Claudio | 17–15 | 53.12% |
| TOKITA vs Jack-8 | 12–18 | 40.00% |
| TOKITA vs Alisa | 10–15 | 40.00% |
| TOKITA vs Victor | 7–14 | 33.33% |
| TOKITA vs Leroy | 11–9 | 55.00% |
| TOKITA vs Leo | 7–11 | 38.89% |
| TOKITA vs Miary Zo | 4–9 | 30.77% |
| TOKITA vs Kuma | 3–7 | 30.00% |
| TOKITA vs Shaheen | 3–6 | 33.33% |
| TOKITA vs Zafina | 4–5 | 44.44% |
| TOKITA vs Panda | 3–5 | 37.50% |
| TOKITA vs Raven | 2–6 | 25.00% |
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.