| sigmatkd vs Jin | 23–1 | 95.83% |
| sigmatkd vs Bryan | 18–2 | 90.00% |
| sigmatkd vs Reina | 19–1 | 95.00% |
| sigmatkd vs Lidia | 14–4 | 77.78% |
| sigmatkd vs King | 16–1 | 94.12% |
| sigmatkd vs Leo | 13–4 | 76.47% |
| sigmatkd vs Kazuya | 15–1 | 93.75% |
| sigmatkd vs Dragunov | 15–1 | 93.75% |
| sigmatkd vs Hwoarang | 14–1 | 93.33% |
| sigmatkd vs Steve | 15–0 | 100.00% |
| sigmatkd vs Lars | 12–1 | 92.31% |
| sigmatkd vs Law | 10–1 | 90.91% |
| sigmatkd vs Leroy | 8–1 | 88.89% |
| sigmatkd vs Paul | 8–0 | 100.00% |
| sigmatkd vs Xiaoyu | 7–0 | 100.00% |
| sigmatkd vs Jun | 6–1 | 85.71% |
| sigmatkd vs Victor | 7–0 | 100.00% |
| sigmatkd vs Feng | 6–0 | 100.00% |
| sigmatkd vs Raven | 6–0 | 100.00% |
| sigmatkd vs Nina | 5–0 | 100.00% |
| sigmatkd vs Anna | 2–3 | 40.00% |
| sigmatkd vs Shaheen | 4–0 | 100.00% |
| sigmatkd vs Azucena | 4–0 | 100.00% |
| sigmatkd vs Eddy | 4–0 | 100.00% |
| sigmatkd vs Yoshimitsu | 2–1 | 66.67% |
| sigmatkd vs Claudio | 3–0 | 100.00% |
| sigmatkd vs Lee | 3–0 | 100.00% |
| sigmatkd vs Heihachi | 3–0 | 100.00% |
| sigmatkd vs Clive | 3–0 | 100.00% |
| sigmatkd vs Asuka | 2–0 | 100.00% |
| sigmatkd vs Devil Jin | 2–0 | 100.00% |
| sigmatkd vs Lili | 2–0 | 100.00% |
| sigmatkd vs Kuma | 2–0 | 100.00% |
| sigmatkd vs Jack-8 | 1–0 | 100.00% |
| sigmatkd vs Zafina | 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.