| TOCO vs Kazuya | 95–57 | 62.50% |
| TOCO vs King | 75–67 | 52.82% |
| TOCO vs Reina | 84–53 | 61.31% |
| TOCO vs Jin | 55–71 | 43.65% |
| TOCO vs Bryan | 59–60 | 49.58% |
| TOCO vs Steve | 62–39 | 61.39% |
| TOCO vs Dragunov | 52–45 | 53.61% |
| TOCO vs Asuka | 51–42 | 54.84% |
| TOCO vs Hwoarang | 38–50 | 43.18% |
| TOCO vs Lee | 35–47 | 42.68% |
| TOCO vs Law | 32–45 | 41.56% |
| TOCO vs Lili | 39–38 | 50.65% |
| TOCO vs Jun | 32–43 | 42.67% |
| TOCO vs Paul | 29–42 | 40.85% |
| TOCO vs Azucena | 30–36 | 45.45% |
| TOCO vs Devil Jin | 27–38 | 41.54% |
| TOCO vs Yoshimitsu | 29–34 | 46.03% |
| TOCO vs Eddy | 28–26 | 51.85% |
| TOCO vs Feng | 22–30 | 42.31% |
| TOCO vs Victor | 26–24 | 52.00% |
| TOCO vs Xiaoyu | 24–24 | 50.00% |
| TOCO vs Leo | 21–22 | 48.84% |
| TOCO vs Shaheen | 22–20 | 52.38% |
| TOCO vs Lars | 16–24 | 40.00% |
| TOCO vs Nina | 16–23 | 41.03% |
| TOCO vs Kuma | 12–26 | 31.58% |
| TOCO vs Armor King | 20–18 | 52.63% |
| TOCO vs Alisa | 20–17 | 54.05% |
| TOCO vs Raven | 19–17 | 52.78% |
| TOCO vs Claudio | 8–19 | 29.63% |
| TOCO vs Leroy | 18–7 | 72.00% |
| TOCO vs Heihachi | 14–9 | 60.87% |
| TOCO vs Jack-8 | 7–12 | 36.84% |
| TOCO vs Lidia | 10–8 | 55.56% |
| TOCO vs Clive | 8–5 | 61.54% |
| TOCO vs Fahkumram | 6–7 | 46.15% |
| TOCO vs Zafina | 6–6 | 50.00% |
| TOCO vs Panda | 3–2 | 60.00% |
| TOCO vs Anna | 3–2 | 60.00% |
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.