| Torro_M vs Jin | 180–346 | 34.22% |
| Torro_M vs Kazuya | 137–302 | 31.21% |
| Torro_M vs Steve | 142–180 | 44.10% |
| Torro_M vs Reina | 136–186 | 42.24% |
| Torro_M vs Law | 99–222 | 30.84% |
| Torro_M vs Bryan | 112–180 | 38.36% |
| Torro_M vs King | 94–195 | 32.53% |
| Torro_M vs Dragunov | 82–167 | 32.93% |
| Torro_M vs Heihachi | 60–154 | 28.04% |
| Torro_M vs Hwoarang | 52–119 | 30.41% |
| Torro_M vs Lee | 67–98 | 40.61% |
| Torro_M vs Paul | 40–120 | 25.00% |
| Torro_M vs Jun | 59–96 | 38.06% |
| Torro_M vs Devil Jin | 43–107 | 28.67% |
| Torro_M vs Azucena | 52–93 | 35.86% |
| Torro_M vs Lidia | 33–99 | 25.00% |
| Torro_M vs Yoshimitsu | 36–94 | 27.69% |
| Torro_M vs Lili | 48–78 | 38.10% |
| Torro_M vs Armor King | 31–88 | 26.05% |
| Torro_M vs Lars | 45–69 | 39.47% |
| Torro_M vs Victor | 29–78 | 27.10% |
| Torro_M vs Eddy | 36–69 | 34.29% |
| Torro_M vs Feng | 31–68 | 31.31% |
| Torro_M vs Alisa | 20–77 | 20.62% |
| Torro_M vs Claudio | 32–53 | 37.65% |
| Torro_M vs Clive | 25–58 | 30.12% |
| Torro_M vs Xiaoyu | 25–40 | 38.46% |
| Torro_M vs Leo | 10–47 | 17.54% |
| Torro_M vs Asuka | 15–40 | 27.27% |
| Torro_M vs Nina | 12–35 | 25.53% |
| Torro_M vs Fahkumram | 8–37 | 17.78% |
| Torro_M vs Anna | 21–23 | 47.73% |
| Torro_M vs Jack-8 | 11–30 | 26.83% |
| Torro_M vs Raven | 8–33 | 19.51% |
| Torro_M vs Miary Zo | 13–28 | 31.71% |
| Torro_M vs Leroy | 13–22 | 37.14% |
| Torro_M vs Kuma | 10–20 | 33.33% |
| Torro_M vs Panda | 4–12 | 25.00% |
| Torro_M vs Shaheen | 5–10 | 33.33% |
| Torro_M vs Zafina | 4–8 | 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.