| sitaw vs Jin | 53–41 | 56.38% |
| sitaw vs Kazuya | 43–43 | 50.00% |
| sitaw vs King | 38–46 | 45.24% |
| sitaw vs Reina | 43–27 | 61.43% |
| sitaw vs Bryan | 41–24 | 63.08% |
| sitaw vs Steve | 37–24 | 60.66% |
| sitaw vs Dragunov | 26–34 | 43.33% |
| sitaw vs Eddy | 19–26 | 42.22% |
| sitaw vs Lars | 28–16 | 63.64% |
| sitaw vs Azucena | 22–22 | 50.00% |
| sitaw vs Paul | 25–18 | 58.14% |
| sitaw vs Hwoarang | 20–22 | 47.62% |
| sitaw vs Law | 23–17 | 57.50% |
| sitaw vs Lili | 24–16 | 60.00% |
| sitaw vs Devil Jin | 17–18 | 48.57% |
| sitaw vs Asuka | 14–19 | 42.42% |
| sitaw vs Yoshimitsu | 17–13 | 56.67% |
| sitaw vs Jun | 13–15 | 46.43% |
| sitaw vs Lidia | 13–15 | 46.43% |
| sitaw vs Nina | 9–17–1 | 34.62% |
| sitaw vs Lee | 12–14 | 46.15% |
| sitaw vs Victor | 15–11 | 57.69% |
| sitaw vs Feng | 12–13 | 48.00% |
| sitaw vs Zafina | 14–9 | 60.87% |
| sitaw vs Xiaoyu | 14–8 | 63.64% |
| sitaw vs Jack-8 | 8–10 | 44.44% |
| sitaw vs Alisa | 7–10 | 41.18% |
| sitaw vs Shaheen | 10–7 | 58.82% |
| sitaw vs Heihachi | 9–8 | 52.94% |
| sitaw vs Leroy | 6–10 | 37.50% |
| sitaw vs Raven | 8–8 | 50.00% |
| sitaw vs Claudio | 7–7 | 50.00% |
| sitaw vs Kuma | 0–9 | 0.00% |
| sitaw vs Leo | 3–3 | 50.00% |
| sitaw vs Panda | 2–2 | 50.00% |
| sitaw vs Armor King | 1–2 | 33.33% |
| sitaw vs Miary Zo | 2–1 | 66.67% |
| sitaw vs Anna | 2–0 | 100.00% |
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.