| Tk-Abdu vs Kazuya | 294–277 | 51.49% |
| Tk-Abdu vs Bryan | 291–277 | 51.23% |
| Tk-Abdu vs Jin | 245–246–1 | 49.90% |
| Tk-Abdu vs King | 228–202 | 53.02% |
| Tk-Abdu vs Dragunov | 191–168 | 53.20% |
| Tk-Abdu vs Heihachi | 159–198 | 44.54% |
| Tk-Abdu vs Paul | 205–143 | 58.91% |
| Tk-Abdu vs Steve | 165–142 | 53.75% |
| Tk-Abdu vs Hwoarang | 139–117 | 54.30% |
| Tk-Abdu vs Law | 122–128 | 48.80% |
| Tk-Abdu vs Yoshimitsu | 117–123 | 48.75% |
| Tk-Abdu vs Devil Jin | 89–97 | 47.85% |
| Tk-Abdu vs Reina | 79–87 | 47.59% |
| Tk-Abdu vs Lee | 76–86 | 46.91% |
| Tk-Abdu vs Armor King | 55–95 | 36.67% |
| Tk-Abdu vs Fahkumram | 82–59 | 58.16% |
| Tk-Abdu vs Alisa | 72–59 | 54.96% |
| Tk-Abdu vs Nina | 71–58 | 55.04% |
| Tk-Abdu vs Feng | 64–62 | 50.79% |
| Tk-Abdu vs Claudio | 57–60 | 48.72% |
| Tk-Abdu vs Asuka | 61–54 | 53.04% |
| Tk-Abdu vs Victor | 45–61 | 42.45% |
| Tk-Abdu vs Lili | 41–51 | 44.57% |
| Tk-Abdu vs Jun | 49–42 | 53.85% |
| Tk-Abdu vs Azucena | 45–46 | 49.45% |
| Tk-Abdu vs Clive | 36–54 | 40.00% |
| Tk-Abdu vs Anna | 37–51 | 42.05% |
| Tk-Abdu vs Lars | 40–46 | 46.51% |
| Tk-Abdu vs Leroy | 28–48 | 36.84% |
| Tk-Abdu vs Jack-8 | 29–42 | 40.85% |
| Tk-Abdu vs Leo | 38–32 | 54.29% |
| Tk-Abdu vs Eddy | 33–33 | 50.00% |
| Tk-Abdu vs Shaheen | 22–39 | 36.07% |
| Tk-Abdu vs Xiaoyu | 31–18 | 63.27% |
| Tk-Abdu vs Lidia | 15–28 | 34.88% |
| Tk-Abdu vs Zafina | 21–20 | 51.22% |
| Tk-Abdu vs Miary Zo | 15–26 | 36.59% |
| Tk-Abdu vs Kuma | 21–15 | 58.33% |
| Tk-Abdu vs Raven | 7–19 | 26.92% |
| Tk-Abdu vs Panda | 0–7 | 0.00% |
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.