| Sipssa vs Kazuya | 329–299 | 52.39% |
| Sipssa vs Bryan | 184–219 | 45.66% |
| Sipssa vs Jin | 200–198 | 50.25% |
| Sipssa vs Heihachi | 176–196 | 47.31% |
| Sipssa vs King | 152–188 | 44.71% |
| Sipssa vs Hwoarang | 160–166 | 49.08% |
| Sipssa vs Reina | 142–166 | 46.10% |
| Sipssa vs Steve | 130–168 | 43.62% |
| Sipssa vs Law | 118–130 | 47.58% |
| Sipssa vs Dragunov | 107–124 | 46.32% |
| Sipssa vs Paul | 94–133 | 41.41% |
| Sipssa vs Lili | 93–130 | 41.70% |
| Sipssa vs Yoshimitsu | 87–102 | 46.03% |
| Sipssa vs Lee | 80–108 | 42.55% |
| Sipssa vs Nina | 71–72 | 49.65% |
| Sipssa vs Jun | 69–70 | 49.64% |
| Sipssa vs Asuka | 63–73 | 46.32% |
| Sipssa vs Xiaoyu | 64–71 | 47.41% |
| Sipssa vs Clive | 66–63 | 51.16% |
| Sipssa vs Alisa | 41–87 | 32.03% |
| Sipssa vs Lars | 51–74 | 40.80% |
| Sipssa vs Devil Jin | 56–68 | 45.16% |
| Sipssa vs Azucena | 60–59 | 50.42% |
| Sipssa vs Jack-8 | 52–51 | 50.49% |
| Sipssa vs Armor King | 56–46 | 54.90% |
| Sipssa vs Feng | 46–50 | 47.92% |
| Sipssa vs Victor | 39–53–1 | 42.39% |
| Sipssa vs Lidia | 44–49 | 47.31% |
| Sipssa vs Eddy | 34–55 | 38.20% |
| Sipssa vs Leroy | 40–45 | 47.06% |
| Sipssa vs Leo | 50–34 | 59.52% |
| Sipssa vs Fahkumram | 30–33 | 47.62% |
| Sipssa vs Raven | 23–33 | 41.07% |
| Sipssa vs Zafina | 18–28 | 39.13% |
| Sipssa vs Shaheen | 21–24 | 46.67% |
| Sipssa vs Kuma | 16–28 | 36.36% |
| Sipssa vs Anna | 13–28 | 31.71% |
| Sipssa vs Claudio | 17–22 | 43.59% |
| Sipssa vs Miary Zo | 10–10 | 50.00% |
| Sipssa vs Panda | 4–11 | 26.67% |
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.