| TkFarhan vs Kazuya | 437–341 | 56.17% |
| TkFarhan vs Jin | 319–308 | 50.88% |
| TkFarhan vs Heihachi | 263–268 | 49.53% |
| TkFarhan vs Bryan | 305–213 | 58.88% |
| TkFarhan vs Dragunov | 228–222 | 50.67% |
| TkFarhan vs King | 211–192 | 52.36% |
| TkFarhan vs Steve | 216–138 | 61.02% |
| TkFarhan vs Lee | 150–161 | 48.23% |
| TkFarhan vs Law | 150–142 | 51.37% |
| TkFarhan vs Hwoarang | 134–136 | 49.63% |
| TkFarhan vs Armor King | 102–163 | 38.49% |
| TkFarhan vs Paul | 140–121 | 53.64% |
| TkFarhan vs Devil Jin | 158–88 | 64.23% |
| TkFarhan vs Clive | 101–141 | 41.74% |
| TkFarhan vs Yoshimitsu | 152–87 | 63.60% |
| TkFarhan vs Feng | 117–104 | 52.94% |
| TkFarhan vs Reina | 104–116–1 | 47.27% |
| TkFarhan vs Lili | 118–86 | 57.84% |
| TkFarhan vs Alisa | 125–67 | 65.10% |
| TkFarhan vs Lars | 98–81 | 54.75% |
| TkFarhan vs Victor | 99–73 | 57.56% |
| TkFarhan vs Nina | 94–77 | 54.97% |
| TkFarhan vs Anna | 85–77 | 52.47% |
| TkFarhan vs Jun | 111–50 | 68.94% |
| TkFarhan vs Asuka | 81–65 | 55.48% |
| TkFarhan vs Claudio | 82–63 | 56.55% |
| TkFarhan vs Jack-8 | 73–69 | 51.41% |
| TkFarhan vs Leroy | 82–45 | 64.57% |
| TkFarhan vs Lidia | 63–49 | 56.25% |
| TkFarhan vs Eddy | 68–42 | 61.82% |
| TkFarhan vs Azucena | 52–56 | 48.15% |
| TkFarhan vs Fahkumram | 48–58 | 45.28% |
| TkFarhan vs Xiaoyu | 57–39 | 59.38% |
| TkFarhan vs Raven | 43–50 | 46.24% |
| TkFarhan vs Zafina | 39–50 | 43.82% |
| TkFarhan vs Leo | 34–37 | 47.89% |
| TkFarhan vs Miary Zo | 25–40 | 38.46% |
| TkFarhan vs Kuma | 29–33 | 46.77% |
| TkFarhan vs Shaheen | 31–30 | 50.82% |
| TkFarhan vs Panda | 11–27 | 28.95% |
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.