| SageTKYO vs King | 7–6–1 | 53.85% |
| SageTKYO vs Hwoarang | 3–6 | 33.33% |
| SageTKYO vs Law | 3–3 | 50.00% |
| SageTKYO vs Kazuya | 5–1 | 83.33% |
| SageTKYO vs Lars | 3–2 | 60.00% |
| SageTKYO vs Nina | 2–3 | 40.00% |
| SageTKYO vs Paul | 2–2 | 50.00% |
| SageTKYO vs Dragunov | 3–1 | 75.00% |
| SageTKYO vs Jin | 1–2 | 33.33% |
| SageTKYO vs Asuka | 1–2 | 33.33% |
| SageTKYO vs Reina | 1–2 | 33.33% |
| SageTKYO vs Azucena | 2–1 | 66.67% |
| SageTKYO vs Eddy | 1–2 | 33.33% |
| SageTKYO vs Bryan | 0–2 | 0.00% |
| SageTKYO vs Steve | 1–1 | 50.00% |
| SageTKYO vs Claudio | 1–1 | 50.00% |
| SageTKYO vs Jun | 2–0 | 100.00% |
| SageTKYO vs Victor | 0–2 | 0.00% |
| SageTKYO vs Xiaoyu | 0–1 | 0.00% |
| SageTKYO vs Devil Jin | 1–0 | 100.00% |
| SageTKYO vs Feng | 0–1 | 0.00% |
| SageTKYO vs Alisa | 0–1 | 0.00% |
| SageTKYO vs Leroy | 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.