| saya vs Kazuya | 38–20 | 65.52% |
| saya vs Jin | 29–18 | 61.70% |
| saya vs Paul | 20–17 | 54.05% |
| saya vs Clive | 25–8 | 75.76% |
| saya vs Reina | 18–13 | 58.06% |
| saya vs Bryan | 18–11 | 62.07% |
| saya vs Asuka | 21–8 | 72.41% |
| saya vs Jun | 19–8 | 70.37% |
| saya vs Dragunov | 16–10 | 61.54% |
| saya vs Lee | 13–12 | 52.00% |
| saya vs Lili | 19–5 | 79.17% |
| saya vs Lidia | 14–10 | 58.33% |
| saya vs Heihachi | 16–6 | 72.73% |
| saya vs Steve | 13–8 | 61.90% |
| saya vs King | 11–8 | 57.89% |
| saya vs Devil Jin | 14–5 | 73.68% |
| saya vs Hwoarang | 9–9 | 50.00% |
| saya vs Jack-8 | 4–12 | 25.00% |
| saya vs Azucena | 9–6 | 60.00% |
| saya vs Feng | 10–4 | 71.43% |
| saya vs Leo | 10–4 | 71.43% |
| saya vs Lars | 10–4 | 71.43% |
| saya vs Alisa | 5–9 | 35.71% |
| saya vs Law | 11–2 | 84.62% |
| saya vs Kuma | 9–4 | 69.23% |
| saya vs Yoshimitsu | 7–5 | 58.33% |
| saya vs Xiaoyu | 8–3 | 72.73% |
| saya vs Eddy | 7–4 | 63.64% |
| saya vs Miary Zo | 7–4 | 63.64% |
| saya vs Claudio | 9–1 | 90.00% |
| saya vs Leroy | 6–4 | 60.00% |
| saya vs Victor | 3–7 | 30.00% |
| saya vs Nina | 3–4 | 42.86% |
| saya vs Zafina | 2–4 | 33.33% |
| saya vs Raven | 3–2 | 60.00% |
| saya vs Shaheen | 1–3 | 25.00% |
| saya vs Fahkumram | 3–1 | 75.00% |
| saya vs Panda | 2–1 | 66.67% |
| saya vs Anna | 1–2 | 33.33% |
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.