| KawaiBryan vs Jin | 39–59 | 39.80% |
| KawaiBryan vs Hwoarang | 37–40 | 48.05% |
| KawaiBryan vs Kazuya | 23–25 | 47.92% |
| KawaiBryan vs Law | 23–24 | 48.94% |
| KawaiBryan vs King | 28–18 | 60.87% |
| KawaiBryan vs Bryan | 26–18 | 59.09% |
| KawaiBryan vs Azucena | 13–19 | 40.62% |
| KawaiBryan vs Steve | 9–19 | 32.14% |
| KawaiBryan vs Feng | 14–13 | 51.85% |
| KawaiBryan vs Lidia | 14–11 | 56.00% |
| KawaiBryan vs Jun | 13–11 | 54.17% |
| KawaiBryan vs Paul | 16–7 | 69.57% |
| KawaiBryan vs Xiaoyu | 7–16 | 30.43% |
| KawaiBryan vs Nina | 7–16 | 30.43% |
| KawaiBryan vs Dragunov | 12–10 | 54.55% |
| KawaiBryan vs Jack-8 | 11–9 | 55.00% |
| KawaiBryan vs Eddy | 10–9 | 52.63% |
| KawaiBryan vs Devil Jin | 7–11 | 38.89% |
| KawaiBryan vs Lili | 7–11 | 38.89% |
| KawaiBryan vs Yoshimitsu | 9–7 | 56.25% |
| KawaiBryan vs Reina | 8–5 | 61.54% |
| KawaiBryan vs Asuka | 10–2 | 83.33% |
| KawaiBryan vs Victor | 7–5 | 58.33% |
| KawaiBryan vs Lars | 4–7 | 36.36% |
| KawaiBryan vs Alisa | 7–4 | 63.64% |
| KawaiBryan vs Heihachi | 4–5 | 44.44% |
| KawaiBryan vs Shaheen | 4–4 | 50.00% |
| KawaiBryan vs Lee | 5–3 | 62.50% |
| KawaiBryan vs Kuma | 3–3 | 50.00% |
| KawaiBryan vs Raven | 3–3 | 50.00% |
| KawaiBryan vs Zafina | 1–4 | 20.00% |
| KawaiBryan vs Leroy | 3–2 | 60.00% |
| KawaiBryan vs Claudio | 2–1 | 66.67% |
| KawaiBryan vs Panda | 0–1 | 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.