| sippinb1each vs Heihachi | 51–54 | 48.57% |
| sippinb1each vs Kazuya | 58–36 | 61.70% |
| sippinb1each vs Bryan | 34–33 | 50.75% |
| sippinb1each vs Steve | 30–35 | 46.15% |
| sippinb1each vs Reina | 35–27 | 56.45% |
| sippinb1each vs Law | 31–23 | 57.41% |
| sippinb1each vs King | 27–27 | 50.00% |
| sippinb1each vs Lidia | 35–19 | 64.81% |
| sippinb1each vs Hwoarang | 30–19 | 61.22% |
| sippinb1each vs Jin | 29–17 | 63.04% |
| sippinb1each vs Azucena | 22–24 | 47.83% |
| sippinb1each vs Yoshimitsu | 21–22 | 48.84% |
| sippinb1each vs Paul | 23–15 | 60.53% |
| sippinb1each vs Dragunov | 26–11 | 70.27% |
| sippinb1each vs Lee | 22–15 | 59.46% |
| sippinb1each vs Devil Jin | 21–13 | 61.76% |
| sippinb1each vs Lili | 18–16 | 52.94% |
| sippinb1each vs Victor | 13–20 | 39.39% |
| sippinb1each vs Xiaoyu | 16–14 | 53.33% |
| sippinb1each vs Jack-8 | 19–10 | 65.52% |
| sippinb1each vs Jun | 13–16 | 44.83% |
| sippinb1each vs Lars | 16–11 | 59.26% |
| sippinb1each vs Eddy | 18–6 | 75.00% |
| sippinb1each vs Alisa | 7–15 | 31.82% |
| sippinb1each vs Kuma | 7–11 | 38.89% |
| sippinb1each vs Raven | 10–6 | 62.50% |
| sippinb1each vs Leo | 12–3 | 80.00% |
| sippinb1each vs Leroy | 10–5 | 66.67% |
| sippinb1each vs Feng | 10–3 | 76.92% |
| sippinb1each vs Nina | 6–6 | 50.00% |
| sippinb1each vs Zafina | 8–3 | 72.73% |
| sippinb1each vs Asuka | 4–6 | 40.00% |
| sippinb1each vs Shaheen | 6–4 | 60.00% |
| sippinb1each vs Panda | 4–5 | 44.44% |
| sippinb1each vs Claudio | 4–2 | 66.67% |
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.