| PC카카오톡 vs Kazuya | 38–17 | 69.09% |
| PC카카오톡 vs Bryan | 28–23 | 54.90% |
| PC카카오톡 vs Jin | 26–22 | 54.17% |
| PC카카오톡 vs Steve | 29–19 | 60.42% |
| PC카카오톡 vs Paul | 31–14 | 68.89% |
| PC카카오톡 vs Hwoarang | 31–14 | 68.89% |
| PC카카오톡 vs Dragunov | 22–23 | 48.89% |
| PC카카오톡 vs Reina | 36–9 | 80.00% |
| PC카카오톡 vs King | 23–20 | 53.49% |
| PC카카오톡 vs Victor | 26–14 | 65.00% |
| PC카카오톡 vs Heihachi | 26–13 | 66.67% |
| PC카카오톡 vs Lee | 21–10 | 67.74% |
| PC카카오톡 vs Asuka | 21–8 | 72.41% |
| PC카카오톡 vs Feng | 21–8 | 72.41% |
| PC카카오톡 vs Yoshimitsu | 15–13 | 53.57% |
| PC카카오톡 vs Lili | 12–16 | 42.86% |
| PC카카오톡 vs Claudio | 13–15 | 46.43% |
| PC카카오톡 vs Law | 15–12 | 55.56% |
| PC카카오톡 vs Devil Jin | 13–13 | 50.00% |
| PC카카오톡 vs Nina | 15–10 | 60.00% |
| PC카카오톡 vs Jun | 17–8 | 68.00% |
| PC카카오톡 vs Azucena | 16–9 | 64.00% |
| PC카카오톡 vs Lars | 12–9 | 57.14% |
| PC카카오톡 vs Leroy | 15–5 | 75.00% |
| PC카카오톡 vs Lidia | 8–10 | 44.44% |
| PC카카오톡 vs Kuma | 11–6 | 64.71% |
| PC카카오톡 vs Jack-8 | 12–4 | 75.00% |
| PC카카오톡 vs Leo | 7–6 | 53.85% |
| PC카카오톡 vs Raven | 4–6 | 40.00% |
| PC카카오톡 vs Xiaoyu | 5–4 | 55.56% |
| PC카카오톡 vs Alisa | 6–3 | 66.67% |
| PC카카오톡 vs Shaheen | 6–3 | 66.67% |
| PC카카오톡 vs Zafina | 9–0 | 100.00% |
| PC카카오톡 vs Eddy | 2–4 | 33.33% |
| PC카카오톡 vs Clive | 1–2 | 33.33% |
| PC카카오톡 vs Panda | 1–1 | 50.00% |
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.