あさりちゃん/TikTok vs Dragunov | 14–8 | 63.64% |
あさりちゃん/TikTok vs Yoshimitsu | 15–4 | 78.95% |
あさりちゃん/TikTok vs Reina | 15–3 | 83.33% |
あさりちゃん/TikTok vs Bryan | 9–7 | 56.25% |
あさりちゃん/TikTok vs Jin | 6–9 | 40.00% |
あさりちゃん/TikTok vs Lili | 14–1 | 93.33% |
あさりちゃん/TikTok vs Paul | 11–2 | 84.62% |
あさりちゃん/TikTok vs Nina | 11–2 | 84.62% |
あさりちゃん/TikTok vs Hwoarang | 8–4 | 66.67% |
あさりちゃん/TikTok vs Feng | 9–2 | 81.82% |
あさりちゃん/TikTok vs King | 9–1 | 90.00% |
あさりちゃん/TikTok vs Lars | 6–4 | 60.00% |
あさりちゃん/TikTok vs Kazuya | 7–2 | 77.78% |
あさりちゃん/TikTok vs Steve | 3–6 | 33.33% |
あさりちゃん/TikTok vs Jun | 5–4 | 55.56% |
あさりちゃん/TikTok vs Law | 4–4 | 50.00% |
あさりちゃん/TikTok vs Heihachi | 4–4 | 50.00% |
あさりちゃん/TikTok vs Raven | 4–3 | 57.14% |
あさりちゃん/TikTok vs Claudio | 4–2 | 66.67% |
あさりちゃん/TikTok vs Kuma | 5–0 | 100.00% |
あさりちゃん/TikTok vs Victor | 5–0 | 100.00% |
あさりちゃん/TikTok vs Leo | 4–0 | 100.00% |
あさりちゃん/TikTok vs Alisa | 4–0 | 100.00% |
あさりちゃん/TikTok vs Leroy | 1–3 | 25.00% |
あさりちゃん/TikTok vs Azucena | 1–3 | 25.00% |
あさりちゃん/TikTok vs Eddy | 3–1 | 75.00% |
あさりちゃん/TikTok vs Xiaoyu | 3–0 | 100.00% |
あさりちゃん/TikTok vs Jack-8 | 3–0 | 100.00% |
あさりちゃん/TikTok vs Asuka | 3–0 | 100.00% |
あさりちゃん/TikTok vs Lee | 1–2 | 33.33% |
あさりちゃん/TikTok vs Panda | 3–0 | 100.00% |
あさりちゃん/TikTok vs Devil Jin | 1–1 | 50.00% |
あさりちゃん/TikTok vs Shaheen | 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.