| vyspr vs King | 30–39 | 43.48% |
| vyspr vs Jin | 32–33 | 49.23% |
| vyspr vs Hwoarang | 28–22 | 56.00% |
| vyspr vs Kazuya | 20–30 | 40.00% |
| vyspr vs Law | 18–27 | 40.00% |
| vyspr vs Reina | 22–21 | 51.16% |
| vyspr vs Steve | 15–21 | 41.67% |
| vyspr vs Bryan | 12–20 | 37.50% |
| vyspr vs Paul | 13–14 | 48.15% |
| vyspr vs Yoshimitsu | 15–12 | 55.56% |
| vyspr vs Lee | 13–11 | 54.17% |
| vyspr vs Victor | 15–8 | 65.22% |
| vyspr vs Dragunov | 12–8 | 60.00% |
| vyspr vs Jun | 10–7 | 58.82% |
| vyspr vs Eddy | 8–9 | 47.06% |
| vyspr vs Lili | 10–6 | 62.50% |
| vyspr vs Heihachi | 8–8 | 50.00% |
| vyspr vs Azucena | 9–6 | 60.00% |
| vyspr vs Asuka | 3–10 | 23.08% |
| vyspr vs Kuma | 4–8 | 33.33% |
| vyspr vs Lidia | 7–4 | 63.64% |
| vyspr vs Xiaoyu | 4–6 | 40.00% |
| vyspr vs Jack-8 | 3–7 | 30.00% |
| vyspr vs Leo | 5–5 | 50.00% |
| vyspr vs Alisa | 6–4 | 60.00% |
| vyspr vs Nina | 7–3 | 70.00% |
| vyspr vs Fahkumram | 6–3 | 66.67% |
| vyspr vs Devil Jin | 3–5 | 37.50% |
| vyspr vs Lars | 3–5 | 37.50% |
| vyspr vs Clive | 2–6 | 25.00% |
| vyspr vs Armor King | 8–0 | 100.00% |
| vyspr vs Feng | 5–2 | 71.43% |
| vyspr vs Claudio | 3–3 | 50.00% |
| vyspr vs Leroy | 4–0 | 100.00% |
| vyspr vs Panda | 2–1 | 66.67% |
| vyspr vs Anna | 2–1 | 66.67% |
| vyspr vs Miary Zo | 1–2 | 33.33% |
| vyspr vs Zafina | 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.