| tatlises vs Jin | 29–119 | 19.59% |
| tatlises vs King | 35–84 | 29.41% |
| tatlises vs Steve | 47–55 | 46.08% |
| tatlises vs Kazuya | 23–77 | 23.00% |
| tatlises vs Armor King | 22–64 | 25.58% |
| tatlises vs Law | 28–55 | 33.73% |
| tatlises vs Hwoarang | 32–50 | 39.02% |
| tatlises vs Dragunov | 21–56 | 27.27% |
| tatlises vs Bryan | 16–54 | 22.86% |
| tatlises vs Lili | 16–53 | 23.19% |
| tatlises vs Reina | 19–48 | 28.36% |
| tatlises vs Heihachi | 12–46 | 20.69% |
| tatlises vs Yoshimitsu | 14–42 | 25.00% |
| tatlises vs Nina | 15–38 | 28.30% |
| tatlises vs Paul | 10–38 | 20.83% |
| tatlises vs Eddy | 9–35–1 | 20.45% |
| tatlises vs Lars | 13–31 | 29.55% |
| tatlises vs Azucena | 10–30 | 25.00% |
| tatlises vs Anna | 13–26 | 33.33% |
| tatlises vs Lee | 8–29 | 21.62% |
| tatlises vs Miary Zo | 12–24 | 33.33% |
| tatlises vs Jun | 11–23 | 32.35% |
| tatlises vs Victor | 5–28 | 15.15% |
| tatlises vs Lidia | 9–24 | 27.27% |
| tatlises vs Devil Jin | 4–28 | 12.50% |
| tatlises vs Asuka | 6–24 | 20.00% |
| tatlises vs Xiaoyu | 7–17–1 | 29.17% |
| tatlises vs Leo | 9–16 | 36.00% |
| tatlises vs Clive | 8–17 | 32.00% |
| tatlises vs Fahkumram | 8–16 | 33.33% |
| tatlises vs Feng | 7–13 | 35.00% |
| tatlises vs Alisa | 0–19–1 | 0.00% |
| tatlises vs Leroy | 1–17 | 5.56% |
| tatlises vs Claudio | 2–14 | 12.50% |
| tatlises vs Jack-8 | 3–12 | 20.00% |
| tatlises vs Raven | 5–7 | 41.67% |
| tatlises vs Panda | 3–6 | 33.33% |
| tatlises vs Shaheen | 4–4 | 50.00% |
| tatlises vs Zafina | 1–6 | 14.29% |
| tatlises vs Kuma | 0–4 | 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.