| Splash vs Heihachi | 113–156 | 42.01% |
| Splash vs Kazuya | 126–135 | 48.28% |
| Splash vs Bryan | 92–99 | 48.17% |
| Splash vs King | 88–102 | 46.32% |
| Splash vs Jin | 77–103 | 42.78% |
| Splash vs Reina | 75–71 | 51.37% |
| Splash vs Steve | 61–76 | 44.53% |
| Splash vs Yoshimitsu | 53–52 | 50.48% |
| Splash vs Devil Jin | 41–64 | 39.05% |
| Splash vs Law | 52–51 | 50.49% |
| Splash vs Dragunov | 41–52 | 44.09% |
| Splash vs Lee | 35–51 | 40.70% |
| Splash vs Hwoarang | 36–43 | 45.57% |
| Splash vs Lili | 31–44 | 41.33% |
| Splash vs Paul | 28–35 | 44.44% |
| Splash vs Lidia | 24–38 | 38.71% |
| Splash vs Xiaoyu | 24–36 | 40.00% |
| Splash vs Asuka | 28–32 | 46.67% |
| Splash vs Victor | 32–25 | 56.14% |
| Splash vs Jun | 23–32 | 41.82% |
| Splash vs Azucena | 20–33 | 37.74% |
| Splash vs Alisa | 21–31 | 40.38% |
| Splash vs Feng | 15–36 | 29.41% |
| Splash vs Zafina | 19–32 | 37.25% |
| Splash vs Jack-8 | 25–24 | 51.02% |
| Splash vs Claudio | 23–25 | 47.92% |
| Splash vs Lars | 17–25 | 40.48% |
| Splash vs Nina | 18–21 | 46.15% |
| Splash vs Eddy | 8–17 | 32.00% |
| Splash vs Leo | 11–13 | 45.83% |
| Splash vs Kuma | 9–11 | 45.00% |
| Splash vs Raven | 11–9 | 55.00% |
| Splash vs Shaheen | 9–10 | 47.37% |
| Splash vs Leroy | 9–10 | 47.37% |
| Splash vs Panda | 6–9 | 40.00% |
| Splash vs Clive | 4–3 | 57.14% |
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.