| negisanch vs Kazuya | 56–22 | 71.79% |
| negisanch vs Jin | 45–21 | 68.18% |
| negisanch vs King | 34–22 | 60.71% |
| negisanch vs Bryan | 28–23 | 54.90% |
| negisanch vs Dragunov | 33–18 | 64.71% |
| negisanch vs Reina | 31–13 | 70.45% |
| negisanch vs Clive | 16–23 | 41.03% |
| negisanch vs Paul | 23–13 | 63.89% |
| negisanch vs Law | 28–8 | 77.78% |
| negisanch vs Yoshimitsu | 17–19 | 47.22% |
| negisanch vs Heihachi | 18–14 | 56.25% |
| negisanch vs Hwoarang | 17–11 | 60.71% |
| negisanch vs Steve | 14–10 | 58.33% |
| negisanch vs Victor | 15–3 | 83.33% |
| negisanch vs Eddy | 9–9 | 50.00% |
| negisanch vs Lili | 7–8 | 46.67% |
| negisanch vs Lars | 10–5 | 66.67% |
| negisanch vs Nina | 8–6 | 57.14% |
| negisanch vs Kuma | 6–7 | 46.15% |
| negisanch vs Asuka | 6–6 | 50.00% |
| negisanch vs Claudio | 8–4 | 66.67% |
| negisanch vs Jun | 9–3 | 75.00% |
| negisanch vs Lidia | 10–2 | 83.33% |
| negisanch vs Leroy | 7–4 | 63.64% |
| negisanch vs Devil Jin | 7–3 | 70.00% |
| negisanch vs Feng | 7–3 | 70.00% |
| negisanch vs Alisa | 6–3 | 66.67% |
| negisanch vs Jack-8 | 4–4 | 50.00% |
| negisanch vs Leo | 4–4 | 50.00% |
| negisanch vs Zafina | 4–3 | 57.14% |
| negisanch vs Azucena | 3–4 | 42.86% |
| negisanch vs Shaheen | 4–1 | 80.00% |
| negisanch vs Raven | 3–2 | 60.00% |
| negisanch vs Xiaoyu | 1–3 | 25.00% |
| negisanch vs Lee | 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.