| SPISA4L vs Jin | 95–103 | 47.98% |
| SPISA4L vs Kazuya | 69–106 | 39.43% |
| SPISA4L vs King | 64–98 | 39.51% |
| SPISA4L vs Hwoarang | 58–75 | 43.61% |
| SPISA4L vs Reina | 48–61 | 44.04% |
| SPISA4L vs Law | 42–65 | 39.25% |
| SPISA4L vs Bryan | 54–48 | 52.94% |
| SPISA4L vs Eddy | 52–49 | 51.49% |
| SPISA4L vs Paul | 35–59 | 37.23% |
| SPISA4L vs Steve | 35–58 | 37.63% |
| SPISA4L vs Lili | 38–54 | 41.30% |
| SPISA4L vs Dragunov | 35–42 | 45.45% |
| SPISA4L vs Yoshimitsu | 30–39 | 43.48% |
| SPISA4L vs Asuka | 31–36 | 46.27% |
| SPISA4L vs Azucena | 25–42 | 37.31% |
| SPISA4L vs Devil Jin | 26–33 | 44.07% |
| SPISA4L vs Victor | 22–37 | 37.29% |
| SPISA4L vs Nina | 22–29 | 43.14% |
| SPISA4L vs Jun | 17–34 | 33.33% |
| SPISA4L vs Jack-8 | 21–26 | 44.68% |
| SPISA4L vs Alisa | 23–24 | 48.94% |
| SPISA4L vs Leroy | 22–24 | 47.83% |
| SPISA4L vs Lars | 13–29 | 30.95% |
| SPISA4L vs Lee | 18–21 | 46.15% |
| SPISA4L vs Xiaoyu | 15–22 | 40.54% |
| SPISA4L vs Feng | 8–25 | 24.24% |
| SPISA4L vs Heihachi | 14–18 | 43.75% |
| SPISA4L vs Clive | 15–16 | 48.39% |
| SPISA4L vs Zafina | 10–17 | 37.04% |
| SPISA4L vs Kuma | 6–16 | 27.27% |
| SPISA4L vs Leo | 9–12 | 42.86% |
| SPISA4L vs Claudio | 6–14 | 30.00% |
| SPISA4L vs Lidia | 7–12 | 36.84% |
| SPISA4L vs Raven | 7–11 | 38.89% |
| SPISA4L vs Shaheen | 8–4 | 66.67% |
| SPISA4L vs Panda | 7–1 | 87.50% |
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.