| 404ERROR vs Bryan | 23–28 | 45.10% |
| 404ERROR vs Dragunov | 26–20 | 56.52% |
| 404ERROR vs King | 26–13 | 66.67% |
| 404ERROR vs Leo | 15–20 | 42.86% |
| 404ERROR vs Hwoarang | 20–14 | 58.82% |
| 404ERROR vs Yoshimitsu | 17–14 | 54.84% |
| 404ERROR vs Jin | 18–13 | 58.06% |
| 404ERROR vs Lili | 16–14 | 53.33% |
| 404ERROR vs Devil Jin | 19–9 | 67.86% |
| 404ERROR vs Fahkumram | 11–15 | 42.31% |
| 404ERROR vs Law | 13–11 | 54.17% |
| 404ERROR vs Alisa | 10–14 | 41.67% |
| 404ERROR vs Paul | 12–11 | 52.17% |
| 404ERROR vs Lee | 12–11 | 52.17% |
| 404ERROR vs Azucena | 14–7 | 66.67% |
| 404ERROR vs Heihachi | 14–7 | 66.67% |
| 404ERROR vs Steve | 14–6 | 70.00% |
| 404ERROR vs Panda | 8–11 | 42.11% |
| 404ERROR vs Kazuya | 12–6 | 66.67% |
| 404ERROR vs Jack-8 | 6–11 | 35.29% |
| 404ERROR vs Lars | 11–6 | 64.71% |
| 404ERROR vs Claudio | 10–6 | 62.50% |
| 404ERROR vs Zafina | 8–8 | 50.00% |
| 404ERROR vs Victor | 4–11 | 26.67% |
| 404ERROR vs Nina | 10–4 | 71.43% |
| 404ERROR vs Lidia | 6–7 | 46.15% |
| 404ERROR vs Xiaoyu | 10–2 | 83.33% |
| 404ERROR vs Reina | 7–5 | 58.33% |
| 404ERROR vs Anna | 4–8 | 33.33% |
| 404ERROR vs Feng | 6–5 | 54.55% |
| 404ERROR vs Raven | 5–6 | 45.45% |
| 404ERROR vs Shaheen | 8–1 | 88.89% |
| 404ERROR vs Clive | 4–5 | 44.44% |
| 404ERROR vs Asuka | 5–3 | 62.50% |
| 404ERROR vs Jun | 3–4 | 42.86% |
| 404ERROR vs Leroy | 2–3 | 40.00% |
| 404ERROR vs Eddy | 0–5 | 0.00% |
| 404ERROR vs Armor King | 0–3 | 0.00% |
| 404ERROR vs Kuma | 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.