| tori5mo9 vs Kazuya | 309–336 | 47.91% |
| tori5mo9 vs Dragunov | 249–336 | 42.56% |
| tori5mo9 vs Paul | 229–294 | 43.79% |
| tori5mo9 vs Bryan | 225–294 | 43.35% |
| tori5mo9 vs Reina | 266–207 | 56.24% |
| tori5mo9 vs Jin | 216–252 | 46.15% |
| tori5mo9 vs Hwoarang | 173–246 | 41.29% |
| tori5mo9 vs King | 145–232 | 38.46% |
| tori5mo9 vs Steve | 164–190 | 46.33% |
| tori5mo9 vs Lili | 168–183 | 47.86% |
| tori5mo9 vs Law | 143–179 | 44.41% |
| tori5mo9 vs Asuka | 138–170 | 44.81% |
| tori5mo9 vs Lidia | 112–179 | 38.49% |
| tori5mo9 vs Heihachi | 123–165 | 42.71% |
| tori5mo9 vs Victor | 130–141 | 47.97% |
| tori5mo9 vs Lars | 100–158 | 38.76% |
| tori5mo9 vs Jun | 137–118 | 53.73% |
| tori5mo9 vs Nina | 115–128 | 47.33% |
| tori5mo9 vs Devil Jin | 101–141 | 41.74% |
| tori5mo9 vs Feng | 91–140 | 39.39% |
| tori5mo9 vs Yoshimitsu | 98–124 | 44.14% |
| tori5mo9 vs Clive | 93–126 | 42.47% |
| tori5mo9 vs Azucena | 121–94 | 56.28% |
| tori5mo9 vs Lee | 106–105 | 50.24% |
| tori5mo9 vs Claudio | 84–126 | 40.00% |
| tori5mo9 vs Leroy | 122–84 | 59.22% |
| tori5mo9 vs Jack-8 | 65–126 | 34.03% |
| tori5mo9 vs Xiaoyu | 90–100 | 47.37% |
| tori5mo9 vs Alisa | 70–117 | 37.43% |
| tori5mo9 vs Leo | 79–101 | 43.89% |
| tori5mo9 vs Eddy | 73–92 | 44.24% |
| tori5mo9 vs Zafina | 52–88 | 37.14% |
| tori5mo9 vs Raven | 45–77 | 36.89% |
| tori5mo9 vs Anna | 53–57 | 48.18% |
| tori5mo9 vs Shaheen | 41–61 | 40.20% |
| tori5mo9 vs Kuma | 46–56 | 45.10% |
| tori5mo9 vs Fahkumram | 39–55 | 41.49% |
| tori5mo9 vs Miary Zo | 34–35 | 49.28% |
| tori5mo9 vs Panda | 16–30 | 34.78% |
| tori5mo9 vs Armor King | 18–18 | 50.00% |
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.