| TNK9192 vs Heihachi | 98–94 | 51.04% |
| TNK9192 vs Bryan | 92–94 | 49.46% |
| TNK9192 vs Dragunov | 101–69–2 | 59.41% |
| TNK9192 vs Kazuya | 80–74 | 51.95% |
| TNK9192 vs Hwoarang | 89–64 | 58.17% |
| TNK9192 vs Reina | 70–83 | 45.75% |
| TNK9192 vs King | 69–58 | 54.33% |
| TNK9192 vs Jun | 67–45 | 59.82% |
| TNK9192 vs Alisa | 64–43 | 59.81% |
| TNK9192 vs Asuka | 64–39 | 62.14% |
| TNK9192 vs Lili | 56–43 | 56.57% |
| TNK9192 vs Paul | 65–33 | 66.33% |
| TNK9192 vs Victor | 46–52 | 46.94% |
| TNK9192 vs Lars | 52–45 | 53.61% |
| TNK9192 vs Jin | 47–44 | 51.65% |
| TNK9192 vs Azucena | 48–41 | 53.93% |
| TNK9192 vs Leroy | 42–44 | 48.84% |
| TNK9192 vs Lee | 50–35 | 58.82% |
| TNK9192 vs Feng | 34–50 | 40.48% |
| TNK9192 vs Steve | 41–42 | 49.40% |
| TNK9192 vs Law | 42–39 | 51.85% |
| TNK9192 vs Yoshimitsu | 45–27 | 62.50% |
| TNK9192 vs Shaheen | 39–31 | 55.71% |
| TNK9192 vs Nina | 44–24 | 64.71% |
| TNK9192 vs Eddy | 33–31 | 51.56% |
| TNK9192 vs Zafina | 34–29 | 53.97% |
| TNK9192 vs Leo | 47–14 | 77.05% |
| TNK9192 vs Lidia | 20–41 | 32.79% |
| TNK9192 vs Devil Jin | 29–31 | 48.33% |
| TNK9192 vs Jack-8 | 24–31 | 43.64% |
| TNK9192 vs Kuma | 28–19 | 59.57% |
| TNK9192 vs Raven | 26–20 | 56.52% |
| TNK9192 vs Claudio | 19–23 | 45.24% |
| TNK9192 vs Xiaoyu | 22–19 | 53.66% |
| TNK9192 vs Clive | 14–18 | 43.75% |
| TNK9192 vs Panda | 6–10 | 37.50% |
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.