| tsukyy vs Jin | 157–207 | 43.13% |
| tsukyy vs Kazuya | 152–182 | 45.51% |
| tsukyy vs King | 127–138 | 47.92% |
| tsukyy vs Bryan | 84–140 | 37.50% |
| tsukyy vs Steve | 110–113 | 49.33% |
| tsukyy vs Dragunov | 71–140 | 33.65% |
| tsukyy vs Reina | 105–105 | 50.00% |
| tsukyy vs Lili | 81–92 | 46.82% |
| tsukyy vs Law | 67–88 | 43.23% |
| tsukyy vs Heihachi | 50–102 | 32.89% |
| tsukyy vs Clive | 53–92 | 36.55% |
| tsukyy vs Yoshimitsu | 41–86 | 32.28% |
| tsukyy vs Lars | 41–72 | 36.28% |
| tsukyy vs Hwoarang | 48–64 | 42.86% |
| tsukyy vs Asuka | 41–58 | 41.41% |
| tsukyy vs Lee | 44–51 | 46.32% |
| tsukyy vs Victor | 40–52 | 43.48% |
| tsukyy vs Nina | 37–52 | 41.57% |
| tsukyy vs Fahkumram | 47–42 | 52.81% |
| tsukyy vs Jun | 33–51 | 39.29% |
| tsukyy vs Paul | 26–56 | 31.71% |
| tsukyy vs Xiaoyu | 30–46 | 39.47% |
| tsukyy vs Devil Jin | 31–42 | 42.47% |
| tsukyy vs Alisa | 34–26 | 56.67% |
| tsukyy vs Anna | 25–35 | 41.67% |
| tsukyy vs Azucena | 21–33 | 38.89% |
| tsukyy vs Feng | 23–30 | 43.40% |
| tsukyy vs Leo | 23–30 | 43.40% |
| tsukyy vs Eddy | 23–28 | 45.10% |
| tsukyy vs Lidia | 22–24 | 47.83% |
| tsukyy vs Claudio | 14–26 | 35.00% |
| tsukyy vs Leroy | 15–24 | 38.46% |
| tsukyy vs Shaheen | 17–21 | 44.74% |
| tsukyy vs Zafina | 8–20 | 28.57% |
| tsukyy vs Raven | 8–20 | 28.57% |
| tsukyy vs Kuma | 7–15 | 31.82% |
| tsukyy vs Jack-8 | 11–10 | 52.38% |
| tsukyy vs Armor King | 9–12 | 42.86% |
| tsukyy vs Panda | 11–5 | 68.75% |
| tsukyy vs Miary Zo | 7–2 | 77.78% |
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.