| Tokita Ohma vs Kazuya | 165–156 | 51.40% |
| Tokita Ohma vs Jin | 134–125 | 51.74% |
| Tokita Ohma vs Bryan | 84–95 | 46.93% |
| Tokita Ohma vs Reina | 76–97 | 43.93% |
| Tokita Ohma vs Yoshimitsu | 83–86 | 49.11% |
| Tokita Ohma vs Hwoarang | 72–93 | 43.64% |
| Tokita Ohma vs King | 85–74 | 53.46% |
| Tokita Ohma vs Steve | 58–64 | 47.54% |
| Tokita Ohma vs Law | 58–62 | 48.33% |
| Tokita Ohma vs Dragunov | 57–63 | 47.50% |
| Tokita Ohma vs Lili | 49–65 | 42.98% |
| Tokita Ohma vs Paul | 62–50 | 55.36% |
| Tokita Ohma vs Azucena | 31–54 | 36.47% |
| Tokita Ohma vs Jun | 38–43 | 46.91% |
| Tokita Ohma vs Heihachi | 36–44 | 45.00% |
| Tokita Ohma vs Devil Jin | 40–39 | 50.63% |
| Tokita Ohma vs Xiaoyu | 47–30 | 61.04% |
| Tokita Ohma vs Lee | 36–41 | 46.75% |
| Tokita Ohma vs Feng | 40–36 | 52.63% |
| Tokita Ohma vs Lars | 34–40 | 45.95% |
| Tokita Ohma vs Victor | 39–30 | 56.52% |
| Tokita Ohma vs Asuka | 20–47 | 29.85% |
| Tokita Ohma vs Nina | 36–29 | 55.38% |
| Tokita Ohma vs Alisa | 34–27 | 55.74% |
| Tokita Ohma vs Eddy | 23–27 | 46.00% |
| Tokita Ohma vs Claudio | 15–31 | 32.61% |
| Tokita Ohma vs Raven | 17–27 | 38.64% |
| Tokita Ohma vs Lidia | 21–18 | 53.85% |
| Tokita Ohma vs Jack-8 | 16–22 | 42.11% |
| Tokita Ohma vs Leroy | 23–12 | 65.71% |
| Tokita Ohma vs Leo | 14–19 | 42.42% |
| Tokita Ohma vs Zafina | 16–16 | 50.00% |
| Tokita Ohma vs Kuma | 15–16 | 48.39% |
| Tokita Ohma vs Shaheen | 8–17 | 32.00% |
| Tokita Ohma vs Clive | 13–11 | 54.17% |
| Tokita Ohma vs Anna | 3–7 | 30.00% |
| Tokita Ohma 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.