| TEKKEN vs Kazuya | 373–408 | 47.76% |
| TEKKEN vs Hwoarang | 340–399 | 46.01% |
| TEKKEN vs Bryan | 287–361 | 44.29% |
| TEKKEN vs Lili | 311–327 | 48.75% |
| TEKKEN vs Dragunov | 252–378 | 40.00% |
| TEKKEN vs Jin | 273–345 | 44.17% |
| TEKKEN vs Paul | 304–305–1 | 49.92% |
| TEKKEN vs Reina | 291–301 | 49.16% |
| TEKKEN vs King | 237–268 | 46.93% |
| TEKKEN vs Asuka | 225–275 | 45.00% |
| TEKKEN vs Law | 245–249 | 49.60% |
| TEKKEN vs Steve | 191–275 | 40.99% |
| TEKKEN vs Victor | 205–186 | 52.43% |
| TEKKEN vs Heihachi | 174–207 | 45.67% |
| TEKKEN vs Xiaoyu | 171–188 | 47.63% |
| TEKKEN vs Yoshimitsu | 127–231 | 35.47% |
| TEKKEN vs Jun | 142–179 | 44.24% |
| TEKKEN vs Lidia | 146–158 | 48.03% |
| TEKKEN vs Nina | 124–159 | 43.82% |
| TEKKEN vs Azucena | 123–157 | 43.93% |
| TEKKEN vs Lars | 117–153 | 43.33% |
| TEKKEN vs Feng | 97–168 | 36.60% |
| TEKKEN vs Alisa | 106–157 | 40.30% |
| TEKKEN vs Clive | 101–138 | 42.26% |
| TEKKEN vs Leo | 89–149 | 37.39% |
| TEKKEN vs Fahkumram | 109–116 | 48.44% |
| TEKKEN vs Devil Jin | 93–129 | 41.89% |
| TEKKEN vs Leroy | 94–126 | 42.73% |
| TEKKEN vs Eddy | 84–123 | 40.58% |
| TEKKEN vs Claudio | 72–129 | 35.82% |
| TEKKEN vs Lee | 90–108 | 45.45% |
| TEKKEN vs Armor King | 83–108 | 43.46% |
| TEKKEN vs Raven | 86–90 | 48.86% |
| TEKKEN vs Jack-8 | 55–107 | 33.95% |
| TEKKEN vs Zafina | 79–79 | 50.00% |
| TEKKEN vs Kuma | 51–77 | 39.84% |
| TEKKEN vs Shaheen | 46–81 | 36.22% |
| TEKKEN vs Anna | 34–60 | 36.17% |
| TEKKEN vs Miary Zo | 27–40 | 40.30% |
| TEKKEN vs Panda | 21–27 | 43.75% |
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.