| TooSoft vs Kazuya | 141–94 | 60.00% |
| TooSoft vs King | 133–101 | 56.84% |
| TooSoft vs Bryan | 112–81 | 58.03% |
| TooSoft vs Reina | 97–93 | 51.05% |
| TooSoft vs Jin | 67–86 | 43.79% |
| TooSoft vs Hwoarang | 77–74 | 50.99% |
| TooSoft vs Steve | 80–61 | 56.74% |
| TooSoft vs Dragunov | 65–67 | 49.24% |
| TooSoft vs Heihachi | 74–48 | 60.66% |
| TooSoft vs Law | 63–57 | 52.50% |
| TooSoft vs Yoshimitsu | 72–45 | 61.54% |
| TooSoft vs Lili | 53–63 | 45.69% |
| TooSoft vs Paul | 69–45 | 60.53% |
| TooSoft vs Azucena | 65–49 | 57.02% |
| TooSoft vs Lee | 48–62 | 43.64% |
| TooSoft vs Asuka | 40–55 | 42.11% |
| TooSoft vs Xiaoyu | 42–46 | 47.73% |
| TooSoft vs Eddy | 49–39 | 55.68% |
| TooSoft vs Devil Jin | 45–41 | 52.33% |
| TooSoft vs Raven | 43–42 | 50.59% |
| TooSoft vs Jun | 38–43 | 46.91% |
| TooSoft vs Lars | 34–37–1 | 47.89% |
| TooSoft vs Lidia | 36–32 | 52.94% |
| TooSoft vs Victor | 28–39 | 41.79% |
| TooSoft vs Fahkumram | 32–26 | 55.17% |
| TooSoft vs Leroy | 31–25 | 55.36% |
| TooSoft vs Nina | 28–27 | 50.91% |
| TooSoft vs Jack-8 | 29–23 | 55.77% |
| TooSoft vs Leo | 28–23 | 54.90% |
| TooSoft vs Feng | 21–29 | 42.00% |
| TooSoft vs Claudio | 20–21 | 48.78% |
| TooSoft vs Clive | 19–20 | 48.72% |
| TooSoft vs Kuma | 12–23 | 34.29% |
| TooSoft vs Alisa | 17–17 | 50.00% |
| TooSoft vs Shaheen | 17–14 | 54.84% |
| TooSoft vs Zafina | 14–13 | 51.85% |
| TooSoft vs Anna | 12–14 | 46.15% |
| TooSoft vs Panda | 6–13 | 31.58% |
| TooSoft vs Armor King | 3–8 | 27.27% |
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.