| GamesTKirk vs Kazuya | 132–173 | 43.28% |
| GamesTKirk vs King | 133–149 | 47.16% |
| GamesTKirk vs Jin | 122–133 | 47.84% |
| GamesTKirk vs Reina | 117–126 | 48.15% |
| GamesTKirk vs Lidia | 94–118 | 44.34% |
| GamesTKirk vs Law | 95–112 | 45.89% |
| GamesTKirk vs Bryan | 93–108 | 46.27% |
| GamesTKirk vs Hwoarang | 98–99 | 49.75% |
| GamesTKirk vs Steve | 89–99 | 47.34% |
| GamesTKirk vs Dragunov | 63–105 | 37.50% |
| GamesTKirk vs Eddy | 60–90 | 40.00% |
| GamesTKirk vs Jun | 66–80 | 45.21% |
| GamesTKirk vs Lili | 65–75 | 46.43% |
| GamesTKirk vs Paul | 55–67 | 45.08% |
| GamesTKirk vs Lars | 48–73 | 39.67% |
| GamesTKirk vs Asuka | 51–69 | 42.50% |
| GamesTKirk vs Nina | 54–66 | 45.00% |
| GamesTKirk vs Azucena | 48–72 | 40.00% |
| GamesTKirk vs Lee | 56–58 | 49.12% |
| GamesTKirk vs Heihachi | 54–58 | 48.21% |
| GamesTKirk vs Yoshimitsu | 43–64 | 40.19% |
| GamesTKirk vs Xiaoyu | 41–57 | 41.84% |
| GamesTKirk vs Victor | 43–51 | 45.74% |
| GamesTKirk vs Clive | 39–54 | 41.94% |
| GamesTKirk vs Feng | 40–50 | 44.44% |
| GamesTKirk vs Devil Jin | 34–54 | 38.64% |
| GamesTKirk vs Leo | 34–38 | 47.22% |
| GamesTKirk vs Alisa | 15–56 | 21.13% |
| GamesTKirk vs Jack-8 | 29–28 | 50.88% |
| GamesTKirk vs Leroy | 27–28 | 49.09% |
| GamesTKirk vs Raven | 28–27 | 50.91% |
| GamesTKirk vs Claudio | 17–24 | 41.46% |
| GamesTKirk vs Zafina | 14–26 | 35.00% |
| GamesTKirk vs Kuma | 7–28 | 20.00% |
| GamesTKirk vs Anna | 9–18 | 33.33% |
| GamesTKirk vs Shaheen | 11–9 | 55.00% |
| GamesTKirk vs Panda | 3–13 | 18.75% |
| GamesTKirk vs Fahkumram | 6–5 | 54.55% |
| GamesTKirk vs Armor King | 2–2 | 50.00% |
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.