| Erratic_ vs Law | 19–13 | 59.38% |
| Erratic_ vs Jin | 23–8 | 74.19% |
| Erratic_ vs Steve | 16–14 | 53.33% |
| Erratic_ vs Raven | 15–12 | 55.56% |
| Erratic_ vs Hwoarang | 18–6 | 75.00% |
| Erratic_ vs King | 13–8 | 61.90% |
| Erratic_ vs Asuka | 12–8 | 60.00% |
| Erratic_ vs Eddy | 9–9 | 50.00% |
| Erratic_ vs Yoshimitsu | 10–6 | 62.50% |
| Erratic_ vs Lili | 9–7 | 56.25% |
| Erratic_ vs Dragunov | 13–3 | 81.25% |
| Erratic_ vs Zafina | 12–4 | 75.00% |
| Erratic_ vs Feng | 8–7 | 53.33% |
| Erratic_ vs Paul | 10–4 | 71.43% |
| Erratic_ vs Bryan | 10–4 | 71.43% |
| Erratic_ vs Heihachi | 8–6 | 57.14% |
| Erratic_ vs Lars | 9–4 | 69.23% |
| Erratic_ vs Nina | 7–6 | 53.85% |
| Erratic_ vs Lee | 10–2 | 83.33% |
| Erratic_ vs Jun | 11–1 | 91.67% |
| Erratic_ vs Kazuya | 8–3 | 72.73% |
| Erratic_ vs Xiaoyu | 6–4 | 60.00% |
| Erratic_ vs Jack-8 | 7–3 | 70.00% |
| Erratic_ vs Claudio | 5–5 | 50.00% |
| Erratic_ vs Devil Jin | 4–5 | 44.44% |
| Erratic_ vs Victor | 7–2 | 77.78% |
| Erratic_ vs Leo | 3–5 | 37.50% |
| Erratic_ vs Alisa | 5–3 | 62.50% |
| Erratic_ vs Reina | 3–5 | 37.50% |
| Erratic_ vs Shaheen | 5–2 | 71.43% |
| Erratic_ vs Kuma | 5–2 | 71.43% |
| Erratic_ vs Lidia | 5–2 | 71.43% |
| Erratic_ vs Leroy | 2–2 | 50.00% |
| Erratic_ vs Azucena | 2–1 | 66.67% |
| Erratic_ vs Clive | 1–1 | 50.00% |
| Erratic_ vs Panda | 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.