| T@run vs King | 731–628–1 | 53.79% |
| T@run vs Bryan | 658–673–1 | 49.44% |
| T@run vs Hwoarang | 536–450 | 54.36% |
| T@run vs Dragunov | 415–522 | 44.29% |
| T@run vs Jin | 509–416 | 55.03% |
| T@run vs Kazuya | 407–325 | 55.60% |
| T@run vs Yoshimitsu | 366–318 | 53.51% |
| T@run vs Paul | 361–259–1 | 58.23% |
| T@run vs Law | 356–264 | 57.42% |
| T@run vs Eddy | 261–259 | 50.19% |
| T@run vs Lars | 247–268 | 47.96% |
| T@run vs Devil Jin | 264–246 | 51.76% |
| T@run vs Heihachi | 245–264 | 48.13% |
| T@run vs Lee | 231–238 | 49.25% |
| T@run vs Steve | 213–255 | 45.51% |
| T@run vs Nina | 233–225 | 50.87% |
| T@run vs Jack-8 | 224–226 | 49.78% |
| T@run vs Victor | 210–216 | 49.30% |
| T@run vs Feng | 166–256 | 39.34% |
| T@run vs Claudio | 171–208 | 45.12% |
| T@run vs Alisa | 171–192 | 47.11% |
| T@run vs Azucena | 195–129 | 60.19% |
| T@run vs Reina | 155–160 | 49.21% |
| T@run vs Leo | 130–173 | 42.90% |
| T@run vs Anna | 121–136 | 47.08% |
| T@run vs Armor King | 118–126 | 48.36% |
| T@run vs Leroy | 107–134 | 44.40% |
| T@run vs Lili | 121–116 | 51.05% |
| T@run vs Fahkumram | 101–130 | 43.72% |
| T@run vs Asuka | 96–115–1 | 45.50% |
| T@run vs Xiaoyu | 103–97 | 51.50% |
| T@run vs Shaheen | 94–105 | 47.24% |
| T@run vs Zafina | 75–114 | 39.68% |
| T@run vs Jun | 89–100 | 47.09% |
| T@run vs Lidia | 74–93 | 44.31% |
| T@run vs Kuma | 58–88 | 39.73% |
| T@run vs Raven | 58–83 | 41.13% |
| T@run vs Clive | 51–82 | 38.35% |
| T@run vs Panda | 21–49 | 30.00% |
| T@run vs Miary Zo | 23–33 | 41.07% |
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.