| soup vs Clive | 31–37 | 45.59% |
| soup vs Hwoarang | 30–17 | 63.83% |
| soup vs Heihachi | 25–20 | 55.56% |
| soup vs Lili | 26–18 | 59.09% |
| soup vs Reina | 19–20 | 48.72% |
| soup vs King | 24–14 | 63.16% |
| soup vs Law | 19–15 | 55.88% |
| soup vs Kazuya | 11–20 | 35.48% |
| soup vs Steve | 12–19 | 38.71% |
| soup vs Jin | 14–15 | 48.28% |
| soup vs Eddy | 13–14 | 48.15% |
| soup vs Yoshimitsu | 15–8 | 65.22% |
| soup vs Dragunov | 9–14 | 39.13% |
| soup vs Jun | 13–10 | 56.52% |
| soup vs Nina | 11–11 | 50.00% |
| soup vs Alisa | 9–8 | 52.94% |
| soup vs Bryan | 6–8 | 42.86% |
| soup vs Devil Jin | 6–8 | 42.86% |
| soup vs Paul | 7–6 | 53.85% |
| soup vs Xiaoyu | 3–10 | 23.08% |
| soup vs Leo | 7–6 | 53.85% |
| soup vs Lee | 3–8–1 | 27.27% |
| soup vs Asuka | 6–5 | 54.55% |
| soup vs Victor | 4–5 | 44.44% |
| soup vs Jack-8 | 4–4 | 50.00% |
| soup vs Azucena | 4–4 | 50.00% |
| soup vs Kuma | 0–7 | 0.00% |
| soup vs Leroy | 5–2 | 71.43% |
| soup vs Lidia | 1–5 | 16.67% |
| soup vs Lars | 1–4 | 20.00% |
| soup vs Shaheen | 3–2 | 60.00% |
| soup vs Raven | 2–3 | 40.00% |
| soup vs Armor King | 3–2 | 60.00% |
| soup vs Claudio | 2–2 | 50.00% |
| soup vs Miary Zo | 1–3 | 25.00% |
| soup vs Anna | 2–1 | 66.67% |
| soup vs Fahkumram | 2–1 | 66.67% |
| soup vs Panda | 0–1 | 0.00% |
| soup vs Zafina | 1–0 | 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.