| @harukosakura vs Jin | 19–18 | 51.35% |
| @harukosakura vs Kazuya | 22–13 | 62.86% |
| @harukosakura vs Bryan | 18–5 | 78.26% |
| @harukosakura vs Jun | 10–9 | 52.63% |
| @harukosakura vs Eddy | 10–9 | 52.63% |
| @harukosakura vs Reina | 12–6 | 66.67% |
| @harukosakura vs Law | 11–6 | 64.71% |
| @harukosakura vs King | 11–6 | 64.71% |
| @harukosakura vs Hwoarang | 8–8 | 50.00% |
| @harukosakura vs Dragunov | 9–7 | 56.25% |
| @harukosakura vs Lee | 7–6 | 53.85% |
| @harukosakura vs Victor | 7–6 | 53.85% |
| @harukosakura vs Yoshimitsu | 1–11 | 8.33% |
| @harukosakura vs Xiaoyu | 6–5 | 54.55% |
| @harukosakura vs Azucena | 9–2 | 81.82% |
| @harukosakura vs Paul | 3–7 | 30.00% |
| @harukosakura vs Claudio | 3–7 | 30.00% |
| @harukosakura vs Kuma | 8–2 | 80.00% |
| @harukosakura vs Nina | 6–3 | 66.67% |
| @harukosakura vs Steve | 5–3 | 62.50% |
| @harukosakura vs Lili | 4–4 | 50.00% |
| @harukosakura vs Shaheen | 2–5 | 28.57% |
| @harukosakura vs Asuka | 4–2 | 66.67% |
| @harukosakura vs Devil Jin | 6–0 | 100.00% |
| @harukosakura vs Alisa | 2–4 | 33.33% |
| @harukosakura vs Leroy | 2–3 | 40.00% |
| @harukosakura vs Feng | 3–1 | 75.00% |
| @harukosakura vs Leo | 2–2 | 50.00% |
| @harukosakura vs Jack-8 | 2–1 | 66.67% |
| @harukosakura vs Lidia | 2–1 | 66.67% |
| @harukosakura vs Fahkumram | 2–1 | 66.67% |
| @harukosakura vs Armor King | 2–1 | 66.67% |
| @harukosakura vs Lars | 2–0 | 100.00% |
| @harukosakura vs Panda | 1–0 | 100.00% |
| @harukosakura vs Clive | 1–0 | 100.00% |
| @harukosakura vs Miary Zo | 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.