| sister5025 vs Kazuya | 61–46 | 57.01% |
| sister5025 vs Fahkumram | 33–50 | 39.76% |
| sister5025 vs Armor King | 41–36 | 53.25% |
| sister5025 vs Bryan | 30–35 | 46.15% |
| sister5025 vs Dragunov | 33–30 | 52.38% |
| sister5025 vs King | 38–21 | 64.41% |
| sister5025 vs Paul | 37–21 | 63.79% |
| sister5025 vs Reina | 31–25 | 55.36% |
| sister5025 vs Hwoarang | 25–26 | 49.02% |
| sister5025 vs Victor | 30–21 | 58.82% |
| sister5025 vs Law | 26–24 | 52.00% |
| sister5025 vs Lili | 25–23 | 52.08% |
| sister5025 vs Steve | 17–17 | 50.00% |
| sister5025 vs Jin | 20–13 | 60.61% |
| sister5025 vs Nina | 12–21 | 36.36% |
| sister5025 vs Asuka | 14–18 | 43.75% |
| sister5025 vs Xiaoyu | 11–18 | 37.93% |
| sister5025 vs Azucena | 17–12 | 58.62% |
| sister5025 vs Heihachi | 13–15 | 46.43% |
| sister5025 vs Devil Jin | 15–11 | 57.69% |
| sister5025 vs Leroy | 13–11 | 54.17% |
| sister5025 vs Jun | 8–16 | 33.33% |
| sister5025 vs Clive | 15–9 | 62.50% |
| sister5025 vs Feng | 10–13 | 43.48% |
| sister5025 vs Anna | 8–15 | 34.78% |
| sister5025 vs Lidia | 7–14 | 33.33% |
| sister5025 vs Lars | 4–16 | 20.00% |
| sister5025 vs Yoshimitsu | 7–12 | 36.84% |
| sister5025 vs Zafina | 4–15 | 21.05% |
| sister5025 vs Eddy | 8–10 | 44.44% |
| sister5025 vs Alisa | 8–8 | 50.00% |
| sister5025 vs Leo | 3–8 | 27.27% |
| sister5025 vs Jack-8 | 6–4 | 60.00% |
| sister5025 vs Claudio | 4–6 | 40.00% |
| sister5025 vs Kuma | 6–3 | 66.67% |
| sister5025 vs Miary Zo | 4–5 | 44.44% |
| sister5025 vs Lee | 4–4 | 50.00% |
| sister5025 vs Shaheen | 0–6 | 0.00% |
| sister5025 vs Panda | 0–4 | 0.00% |
| sister5025 vs Raven | 1–2 | 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.