| Toblerone vs Kazuya | 176–156 | 53.01% |
| Toblerone vs Jin | 107–126 | 45.92% |
| Toblerone vs Bryan | 106–107 | 49.77% |
| Toblerone vs Reina | 103–72 | 58.86% |
| Toblerone vs Hwoarang | 77–95 | 44.77% |
| Toblerone vs King | 88–76 | 53.66% |
| Toblerone vs Paul | 70–83 | 45.75% |
| Toblerone vs Law | 61–88 | 40.94% |
| Toblerone vs Steve | 69–68 | 50.36% |
| Toblerone vs Lili | 49–83 | 37.12% |
| Toblerone vs Dragunov | 50–77 | 39.37% |
| Toblerone vs Yoshimitsu | 51–73 | 41.13% |
| Toblerone vs Heihachi | 50–66 | 43.10% |
| Toblerone vs Lars | 66–46 | 58.93% |
| Toblerone vs Lee | 48–62 | 43.64% |
| Toblerone vs Devil Jin | 44–55 | 44.44% |
| Toblerone vs Asuka | 35–48 | 42.17% |
| Toblerone vs Feng | 42–41 | 50.60% |
| Toblerone vs Nina | 33–50 | 39.76% |
| Toblerone vs Jun | 41–39 | 51.25% |
| Toblerone vs Azucena | 41–37 | 52.56% |
| Toblerone vs Claudio | 31–39 | 44.29% |
| Toblerone vs Raven | 31–37 | 45.59% |
| Toblerone vs Lidia | 34–31 | 52.31% |
| Toblerone vs Victor | 23–40 | 36.51% |
| Toblerone vs Leroy | 27–33 | 45.00% |
| Toblerone vs Eddy | 19–40 | 32.20% |
| Toblerone vs Alisa | 24–31 | 43.64% |
| Toblerone vs Jack-8 | 26–27 | 49.06% |
| Toblerone vs Xiaoyu | 26–22 | 54.17% |
| Toblerone vs Kuma | 21–24 | 46.67% |
| Toblerone vs Shaheen | 14–24 | 36.84% |
| Toblerone vs Leo | 14–15 | 48.28% |
| Toblerone vs Zafina | 7–7 | 50.00% |
| Toblerone vs Clive | 6–8 | 42.86% |
| Toblerone vs Anna | 4–8 | 33.33% |
| Toblerone vs Panda | 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.