| 1Q2W vs Armor King | 61–38 | 61.62% |
| 1Q2W vs Hwoarang | 34–19 | 64.15% |
| 1Q2W vs Jin | 21–23 | 47.73% |
| 1Q2W vs King | 26–17 | 60.47% |
| 1Q2W vs Kazuya | 22–17 | 56.41% |
| 1Q2W vs Azucena | 21–13 | 61.76% |
| 1Q2W vs Dragunov | 17–16 | 51.52% |
| 1Q2W vs Steve | 18–13 | 58.06% |
| 1Q2W vs Law | 17–13 | 56.67% |
| 1Q2W vs Paul | 21–8 | 72.41% |
| 1Q2W vs Bryan | 16–13 | 55.17% |
| 1Q2W vs Reina | 15–14 | 51.72% |
| 1Q2W vs Lili | 18–9 | 66.67% |
| 1Q2W vs Asuka | 11–14 | 44.00% |
| 1Q2W vs Claudio | 19–3 | 86.36% |
| 1Q2W vs Lidia | 13–9 | 59.09% |
| 1Q2W vs Victor | 14–4 | 77.78% |
| 1Q2W vs Yoshimitsu | 12–5 | 70.59% |
| 1Q2W vs Shaheen | 7–9 | 43.75% |
| 1Q2W vs Anna | 10–5 | 66.67% |
| 1Q2W vs Alisa | 7–7 | 50.00% |
| 1Q2W vs Jun | 7–7 | 50.00% |
| 1Q2W vs Devil Jin | 5–8 | 38.46% |
| 1Q2W vs Nina | 9–4 | 69.23% |
| 1Q2W vs Lee | 8–5 | 61.54% |
| 1Q2W vs Feng | 4–8 | 33.33% |
| 1Q2W vs Jack-8 | 4–4 | 50.00% |
| 1Q2W vs Xiaoyu | 2–5 | 28.57% |
| 1Q2W vs Eddy | 3–4 | 42.86% |
| 1Q2W vs Clive | 3–4 | 42.86% |
| 1Q2W vs Leo | 5–0 | 100.00% |
| 1Q2W vs Raven | 2–3 | 40.00% |
| 1Q2W vs Heihachi | 2–3 | 40.00% |
| 1Q2W vs Fahkumram | 3–2 | 60.00% |
| 1Q2W vs Lars | 4–0 | 100.00% |
| 1Q2W vs Leroy | 2–1 | 66.67% |
| 1Q2W vs Kuma | 0–2 | 0.00% |
| 1Q2W vs Panda | 0–2 | 0.00% |
| 1Q2W vs Zafina | 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.