| Salvo_ACR vs Jin | 20–32 | 38.46% |
| Salvo_ACR vs Kazuya | 27–25 | 51.92% |
| Salvo_ACR vs King | 25–18 | 58.14% |
| Salvo_ACR vs Reina | 25–18 | 58.14% |
| Salvo_ACR vs Yoshimitsu | 20–20 | 50.00% |
| Salvo_ACR vs Hwoarang | 10–17 | 37.04% |
| Salvo_ACR vs Lili | 11–15 | 42.31% |
| Salvo_ACR vs Lidia | 14–12 | 53.85% |
| Salvo_ACR vs Steve | 11–14 | 44.00% |
| Salvo_ACR vs Lee | 6–17 | 26.09% |
| Salvo_ACR vs Heihachi | 11–11 | 50.00% |
| Salvo_ACR vs Law | 14–7 | 66.67% |
| Salvo_ACR vs Eddy | 4–16 | 20.00% |
| Salvo_ACR vs Bryan | 9–9 | 50.00% |
| Salvo_ACR vs Dragunov | 7–10 | 41.18% |
| Salvo_ACR vs Jun | 8–9 | 47.06% |
| Salvo_ACR vs Devil Jin | 9–7 | 56.25% |
| Salvo_ACR vs Azucena | 10–5 | 66.67% |
| Salvo_ACR vs Victor | 10–4 | 71.43% |
| Salvo_ACR vs Raven | 7–7 | 50.00% |
| Salvo_ACR vs Feng | 7–6 | 53.85% |
| Salvo_ACR vs Panda | 9–3 | 75.00% |
| Salvo_ACR vs Nina | 2–9 | 18.18% |
| Salvo_ACR vs Jack-8 | 3–7 | 30.00% |
| Salvo_ACR vs Paul | 3–5 | 37.50% |
| Salvo_ACR vs Claudio | 3–5 | 37.50% |
| Salvo_ACR vs Asuka | 2–5 | 28.57% |
| Salvo_ACR vs Clive | 3–3 | 50.00% |
| Salvo_ACR vs Kuma | 1–4 | 20.00% |
| Salvo_ACR vs Alisa | 4–0 | 100.00% |
| Salvo_ACR vs Xiaoyu | 2–1 | 66.67% |
| Salvo_ACR vs Lars | 1–2 | 33.33% |
| Salvo_ACR vs Zafina | 2–1 | 66.67% |
| Salvo_ACR vs Shaheen | 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.