| av소라 vs Paul | 23–26 | 46.94% |
| av소라 vs Dragunov | 28–20 | 58.33% |
| av소라 vs Hwoarang | 27–18 | 60.00% |
| av소라 vs King | 11–22 | 33.33% |
| av소라 vs Kazuya | 17–16 | 51.52% |
| av소라 vs Lili | 20–13 | 60.61% |
| av소라 vs Asuka | 19–12 | 61.29% |
| av소라 vs Reina | 20–10 | 66.67% |
| av소라 vs Alisa | 21–6 | 77.78% |
| av소라 vs Heihachi | 12–14 | 46.15% |
| av소라 vs Law | 19–6 | 76.00% |
| av소라 vs Jin | 12–12 | 50.00% |
| av소라 vs Bryan | 15–9 | 62.50% |
| av소라 vs Jun | 15–9 | 62.50% |
| av소라 vs Steve | 10–13 | 43.48% |
| av소라 vs Fahkumram | 8–15 | 34.78% |
| av소라 vs Victor | 10–11 | 47.62% |
| av소라 vs Yoshimitsu | 7–9 | 43.75% |
| av소라 vs Feng | 10–5 | 66.67% |
| av소라 vs Clive | 4–9 | 30.77% |
| av소라 vs Shaheen | 5–7 | 41.67% |
| av소라 vs Nina | 5–7 | 41.67% |
| av소라 vs Eddy | 5–7 | 41.67% |
| av소라 vs Azucena | 6–5 | 54.55% |
| av소라 vs Devil Jin | 9–1 | 90.00% |
| av소라 vs Jack-8 | 1–8 | 11.11% |
| av소라 vs Lars | 4–5 | 44.44% |
| av소라 vs Xiaoyu | 3–5 | 37.50% |
| av소라 vs Claudio | 3–5 | 37.50% |
| av소라 vs Kuma | 6–2 | 75.00% |
| av소라 vs Zafina | 4–4 | 50.00% |
| av소라 vs Panda | 3–4 | 42.86% |
| av소라 vs Leroy | 4–3 | 57.14% |
| av소라 vs Lee | 3–3 | 50.00% |
| av소라 vs Lidia | 1–4 | 20.00% |
| av소라 vs Armor King | 0–5 | 0.00% |
| av소라 vs Leo | 0–4 | 0.00% |
| av소라 vs Anna | 0–4 | 0.00% |
| av소라 vs Miary Zo | 2–1 | 66.67% |
| av소라 vs Raven | 2–0 | 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.