| 1__1 vs Bryan | 43–26 | 62.32% |
| 1__1 vs Armor King | 30–38 | 44.12% |
| 1__1 vs Jin | 38–20 | 65.52% |
| 1__1 vs Kazuya | 39–18 | 68.42% |
| 1__1 vs Hwoarang | 36–18 | 66.67% |
| 1__1 vs Heihachi | 24–20 | 54.55% |
| 1__1 vs Law | 16–24 | 40.00% |
| 1__1 vs Steve | 12–19 | 38.71% |
| 1__1 vs Reina | 21–8 | 72.41% |
| 1__1 vs Yoshimitsu | 12–12 | 50.00% |
| 1__1 vs Lee | 11–12 | 47.83% |
| 1__1 vs King | 10–11 | 47.62% |
| 1__1 vs Dragunov | 13–8 | 61.90% |
| 1__1 vs Fahkumram | 9–11 | 45.00% |
| 1__1 vs Paul | 12–7 | 63.16% |
| 1__1 vs Claudio | 11–8 | 57.89% |
| 1__1 vs Asuka | 6–11 | 35.29% |
| 1__1 vs Feng | 10–7 | 58.82% |
| 1__1 vs Jun | 7–10 | 41.18% |
| 1__1 vs Lidia | 7–10 | 41.18% |
| 1__1 vs Anna | 8–9 | 47.06% |
| 1__1 vs Lars | 9–7 | 56.25% |
| 1__1 vs Leo | 9–6 | 60.00% |
| 1__1 vs Nina | 8–7 | 53.33% |
| 1__1 vs Devil Jin | 9–4 | 69.23% |
| 1__1 vs Zafina | 3–10 | 23.08% |
| 1__1 vs Jack-8 | 6–6 | 50.00% |
| 1__1 vs Lili | 8–4 | 66.67% |
| 1__1 vs Azucena | 5–5 | 50.00% |
| 1__1 vs Xiaoyu | 2–7 | 22.22% |
| 1__1 vs Victor | 6–3 | 66.67% |
| 1__1 vs Miary Zo | 3–6 | 33.33% |
| 1__1 vs Shaheen | 4–4 | 50.00% |
| 1__1 vs Clive | 5–3 | 62.50% |
| 1__1 vs Raven | 3–4 | 42.86% |
| 1__1 vs Eddy | 1–5 | 16.67% |
| 1__1 vs Alisa | 1–4 | 20.00% |
| 1__1 vs Leroy | 2–3 | 40.00% |
| 1__1 vs Kuma | 0–1 | 0.00% |
| 1__1 vs Panda | 0–1 | 0.00% |
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.