| onitnaS vs Jin | 3–4 | 42.86% |
| onitnaS vs Kazuya | 1–6 | 14.29% |
| onitnaS vs Lili | 1–5 | 16.67% |
| onitnaS vs Law | 3–1 | 75.00% |
| onitnaS vs Reina | 4–0 | 100.00% |
| onitnaS vs Victor | 0–4 | 0.00% |
| onitnaS vs Eddy | 1–3 | 25.00% |
| onitnaS vs King | 2–1 | 66.67% |
| onitnaS vs Yoshimitsu | 1–2 | 33.33% |
| onitnaS vs Alisa | 1–2 | 33.33% |
| onitnaS vs Jun | 1–2 | 33.33% |
| onitnaS vs Azucena | 0–3 | 0.00% |
| onitnaS vs Xiaoyu | 0–2 | 0.00% |
| onitnaS vs Bryan | 1–1 | 50.00% |
| onitnaS vs Devil Jin | 0–2 | 0.00% |
| onitnaS vs Lars | 2–0 | 100.00% |
| onitnaS vs Claudio | 0–2 | 0.00% |
| onitnaS vs Nina | 0–2 | 0.00% |
| onitnaS vs Lee | 2–0 | 100.00% |
| onitnaS vs Raven | 2–0 | 100.00% |
| onitnaS vs Miary Zo | 0–2 | 0.00% |
| onitnaS vs Anna | 0–1 | 0.00% |
| onitnaS vs Fahkumram | 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.