| TicklishButter vs Steve | 25–15 | 62.50% |
| TicklishButter vs Law | 8–27 | 22.86% |
| TicklishButter vs Hwoarang | 9–20 | 31.03% |
| TicklishButter vs Bryan | 6–22 | 21.43% |
| TicklishButter vs King | 10–17 | 37.04% |
| TicklishButter vs Reina | 12–14 | 46.15% |
| TicklishButter vs Armor King | 7–18 | 28.00% |
| TicklishButter vs Jin | 8–16 | 33.33% |
| TicklishButter vs Miary Zo | 5–15 | 25.00% |
| TicklishButter vs Kazuya | 7–12 | 36.84% |
| TicklishButter vs Lili | 5–14 | 26.32% |
| TicklishButter vs Eddy | 7–10 | 41.18% |
| TicklishButter vs Dragunov | 4–12 | 25.00% |
| TicklishButter vs Yoshimitsu | 4–9 | 30.77% |
| TicklishButter vs Asuka | 5–5 | 50.00% |
| TicklishButter vs Azucena | 2–8 | 20.00% |
| TicklishButter vs Paul | 3–6 | 33.33% |
| TicklishButter vs Jun | 3–6 | 33.33% |
| TicklishButter vs Fahkumram | 4–5 | 44.44% |
| TicklishButter vs Victor | 4–4 | 50.00% |
| TicklishButter vs Raven | 4–4 | 50.00% |
| TicklishButter vs Heihachi | 1–6 | 14.29% |
| TicklishButter vs Leo | 3–2 | 60.00% |
| TicklishButter vs Alisa | 1–4 | 20.00% |
| TicklishButter vs Nina | 4–1 | 80.00% |
| TicklishButter vs Clive | 2–3 | 40.00% |
| TicklishButter vs Xiaoyu | 4–0 | 100.00% |
| TicklishButter vs Zafina | 2–2 | 50.00% |
| TicklishButter vs Anna | 2–2 | 50.00% |
| TicklishButter vs Feng | 2–1 | 66.67% |
| TicklishButter vs Shaheen | 2–1 | 66.67% |
| TicklishButter vs Lee | 2–1 | 66.67% |
| TicklishButter vs Panda | 1–2 | 33.33% |
| TicklishButter vs Lidia | 1–2 | 33.33% |
| TicklishButter vs Kuma | 0–2 | 0.00% |
| TicklishButter vs Devil Jin | 1–0 | 100.00% |
| TicklishButter vs Claudio | 1–0 | 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.