| JxSais vs Kazuya | 27–17 | 61.36% |
| JxSais vs Bryan | 19–16 | 54.29% |
| JxSais vs Reina | 19–10 | 65.52% |
| JxSais vs King | 15–12 | 55.56% |
| JxSais vs Lili | 16–6 | 72.73% |
| JxSais vs Lee | 13–9 | 59.09% |
| JxSais vs Jin | 15–6 | 71.43% |
| JxSais vs Steve | 12–7 | 63.16% |
| JxSais vs Lars | 14–5 | 73.68% |
| JxSais vs Hwoarang | 10–8 | 55.56% |
| JxSais vs Nina | 12–6 | 66.67% |
| JxSais vs Leroy | 8–10 | 44.44% |
| JxSais vs Azucena | 13–5 | 72.22% |
| JxSais vs Law | 14–3 | 82.35% |
| JxSais vs Dragunov | 13–4 | 76.47% |
| JxSais vs Yoshimitsu | 11–5 | 68.75% |
| JxSais vs Xiaoyu | 9–7 | 56.25% |
| JxSais vs Eddy | 9–7 | 56.25% |
| JxSais vs Asuka | 13–2 | 86.67% |
| JxSais vs Victor | 3–12 | 20.00% |
| JxSais vs Paul | 7–7 | 50.00% |
| JxSais vs Alisa | 7–5 | 58.33% |
| JxSais vs Fahkumram | 9–3 | 75.00% |
| JxSais vs Raven | 8–3 | 72.73% |
| JxSais vs Lidia | 5–6 | 45.45% |
| JxSais vs Jun | 7–3 | 70.00% |
| JxSais vs Devil Jin | 5–4 | 55.56% |
| JxSais vs Leo | 8–1 | 88.89% |
| JxSais vs Jack-8 | 4–4 | 50.00% |
| JxSais vs Feng | 4–1 | 80.00% |
| JxSais vs Claudio | 3–2 | 60.00% |
| JxSais vs Panda | 1–4 | 20.00% |
| JxSais vs Zafina | 3–2 | 60.00% |
| JxSais vs Armor King | 3–0 | 100.00% |
| JxSais vs Clive | 2–0 | 100.00% |
| JxSais vs Anna | 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.