| Im ticklish vs Jin | 94–57 | 62.25% |
| Im ticklish vs King | 64–71 | 47.41% |
| Im ticklish vs Hwoarang | 55–77 | 41.67% |
| Im ticklish vs Reina | 50–79 | 38.76% |
| Im ticklish vs Bryan | 60–65 | 48.00% |
| Im ticklish vs Law | 52–60 | 46.43% |
| Im ticklish vs Eddy | 57–49 | 53.77% |
| Im ticklish vs Kazuya | 47–57 | 45.19% |
| Im ticklish vs Dragunov | 50–51 | 49.50% |
| Im ticklish vs Lee | 39–61 | 39.00% |
| Im ticklish vs Lars | 53–46 | 53.54% |
| Im ticklish vs Steve | 51–42 | 54.84% |
| Im ticklish vs Azucena | 38–47 | 44.71% |
| Im ticklish vs Raven | 39–43 | 47.56% |
| Im ticklish vs Jun | 41–38 | 51.90% |
| Im ticklish vs Nina | 36–40 | 47.37% |
| Im ticklish vs Feng | 33–40 | 45.21% |
| Im ticklish vs Yoshimitsu | 35–36 | 49.30% |
| Im ticklish vs Victor | 36–34 | 51.43% |
| Im ticklish vs Paul | 31–38 | 44.93% |
| Im ticklish vs Asuka | 34–29 | 53.97% |
| Im ticklish vs Lili | 35–27 | 56.45% |
| Im ticklish vs Xiaoyu | 29–29 | 50.00% |
| Im ticklish vs Devil Jin | 25–32 | 43.86% |
| Im ticklish vs Leo | 25–27 | 48.08% |
| Im ticklish vs Claudio | 15–31 | 32.61% |
| Im ticklish vs Jack-8 | 15–24 | 38.46% |
| Im ticklish vs Leroy | 16–23 | 41.03% |
| Im ticklish vs Alisa | 16–18 | 47.06% |
| Im ticklish vs Shaheen | 18–13 | 58.06% |
| Im ticklish vs Zafina | 5–18 | 21.74% |
| Im ticklish vs Heihachi | 11–11 | 50.00% |
| Im ticklish vs Kuma | 3–13 | 18.75% |
| Im ticklish vs Lidia | 5–6 | 45.45% |
| Im ticklish vs Panda | 2–4 | 33.33% |
| Im ticklish vs Clive | 3–3 | 50.00% |
| Im ticklish vs Armor King | 2–0 | 100.00% |
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.