| s6raa vs King | 22–27 | 44.90% |
| s6raa vs Reina | 22–18 | 55.00% |
| s6raa vs Kazuya | 22–16 | 57.89% |
| s6raa vs Steve | 15–22 | 40.54% |
| s6raa vs Jin | 19–17 | 52.78% |
| s6raa vs Heihachi | 17–11 | 60.71% |
| s6raa vs Law | 13–13 | 50.00% |
| s6raa vs Azucena | 12–14 | 46.15% |
| s6raa vs Dragunov | 10–14 | 41.67% |
| s6raa vs Lili | 8–14 | 36.36% |
| s6raa vs Clive | 11–9 | 55.00% |
| s6raa vs Nina | 6–13 | 31.58% |
| s6raa vs Asuka | 8–9 | 47.06% |
| s6raa vs Lee | 8–9 | 47.06% |
| s6raa vs Yoshimitsu | 7–8 | 46.67% |
| s6raa vs Leroy | 5–10 | 33.33% |
| s6raa vs Eddy | 3–11 | 21.43% |
| s6raa vs Xiaoyu | 6–7 | 46.15% |
| s6raa vs Bryan | 2–11 | 15.38% |
| s6raa vs Hwoarang | 5–7 | 41.67% |
| s6raa vs Jack-8 | 8–3 | 72.73% |
| s6raa vs Devil Jin | 5–6 | 45.45% |
| s6raa vs Jun | 4–6 | 40.00% |
| s6raa vs Anna | 5–5 | 50.00% |
| s6raa vs Fahkumram | 4–6 | 40.00% |
| s6raa vs Lars | 5–4 | 55.56% |
| s6raa vs Feng | 5–3 | 62.50% |
| s6raa vs Lidia | 4–4 | 50.00% |
| s6raa vs Leo | 2–5 | 28.57% |
| s6raa vs Panda | 5–2 | 71.43% |
| s6raa vs Victor | 3–4 | 42.86% |
| s6raa vs Armor King | 6–1 | 85.71% |
| s6raa vs Claudio | 3–3 | 50.00% |
| s6raa vs Paul | 3–2 | 60.00% |
| s6raa vs Kuma | 2–3 | 40.00% |
| s6raa vs Alisa | 2–2 | 50.00% |
| s6raa vs Zafina | 1–2 | 33.33% |
| s6raa vs Shaheen | 2–0 | 100.00% |
| s6raa vs Raven | 0–2 | 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.