| user1 vs King | 28–15 | 65.12% |
| user1 vs Dragunov | 23–18 | 56.10% |
| user1 vs Steve | 13–25 | 34.21% |
| user1 vs Kazuya | 15–16 | 48.39% |
| user1 vs Bryan | 14–15 | 48.28% |
| user1 vs Asuka | 16–11 | 59.26% |
| user1 vs Reina | 15–10 | 60.00% |
| user1 vs Jin | 14–10 | 58.33% |
| user1 vs Lili | 10–10 | 50.00% |
| user1 vs Paul | 7–12 | 36.84% |
| user1 vs Hwoarang | 10–9 | 52.63% |
| user1 vs Xiaoyu | 11–7 | 61.11% |
| user1 vs Jun | 11–7 | 61.11% |
| user1 vs Law | 7–9 | 43.75% |
| user1 vs Claudio | 7–8 | 46.67% |
| user1 vs Azucena | 8–6 | 57.14% |
| user1 vs Heihachi | 8–6 | 57.14% |
| user1 vs Nina | 7–6 | 53.85% |
| user1 vs Yoshimitsu | 7–5 | 58.33% |
| user1 vs Leo | 3–8 | 27.27% |
| user1 vs Victor | 5–6 | 45.45% |
| user1 vs Raven | 4–7 | 36.36% |
| user1 vs Eddy | 5–6 | 45.45% |
| user1 vs Clive | 6–5 | 54.55% |
| user1 vs Feng | 6–4 | 60.00% |
| user1 vs Alisa | 7–2 | 77.78% |
| user1 vs Lee | 3–6 | 33.33% |
| user1 vs Lidia | 7–2 | 77.78% |
| user1 vs Jack-8 | 5–3 | 62.50% |
| user1 vs Lars | 1–6 | 14.29% |
| user1 vs Kuma | 4–1 | 80.00% |
| user1 vs Fahkumram | 2–2 | 50.00% |
| user1 vs Miary Zo | 1–3 | 25.00% |
| user1 vs Zafina | 0–3 | 0.00% |
| user1 vs Shaheen | 2–0 | 100.00% |
| user1 vs Anna | 0–2 | 0.00% |
| user1 vs Leroy | 1–0 | 100.00% |
| user1 vs Armor King | 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.