| Roviqp vs Jin | 40–41 | 49.38% |
| Roviqp vs Kazuya | 39–23 | 62.90% |
| Roviqp vs Law | 23–21 | 52.27% |
| Roviqp vs Dragunov | 23–19 | 54.76% |
| Roviqp vs King | 19–20 | 48.72% |
| Roviqp vs Reina | 17–21 | 44.74% |
| Roviqp vs Devil Jin | 23–10 | 69.70% |
| Roviqp vs Hwoarang | 20–11–1 | 64.52% |
| Roviqp vs Heihachi | 11–14 | 44.00% |
| Roviqp vs Paul | 15–8 | 65.22% |
| Roviqp vs Nina | 14–8 | 63.64% |
| Roviqp vs Yoshimitsu | 10–11 | 47.62% |
| Roviqp vs Bryan | 11–10 | 52.38% |
| Roviqp vs Asuka | 9–11 | 45.00% |
| Roviqp vs Steve | 10–9 | 52.63% |
| Roviqp vs Clive | 10–8 | 55.56% |
| Roviqp vs Feng | 5–10 | 33.33% |
| Roviqp vs Jun | 6–8 | 42.86% |
| Roviqp vs Xiaoyu | 3–10 | 23.08% |
| Roviqp vs Anna | 6–7 | 46.15% |
| Roviqp vs Leroy | 4–8 | 33.33% |
| Roviqp vs Lili | 8–2 | 80.00% |
| Roviqp vs Leo | 6–4 | 60.00% |
| Roviqp vs Claudio | 3–7 | 30.00% |
| Roviqp vs Lee | 7–3 | 70.00% |
| Roviqp vs Victor | 5–4 | 55.56% |
| Roviqp vs Jack-8 | 2–6 | 25.00% |
| Roviqp vs Eddy | 3–5 | 37.50% |
| Roviqp vs Alisa | 6–1 | 85.71% |
| Roviqp vs Azucena | 6–1 | 85.71% |
| Roviqp vs Lars | 2–4 | 33.33% |
| Roviqp vs Raven | 2–4 | 33.33% |
| Roviqp vs Lidia | 2–4 | 33.33% |
| Roviqp vs Kuma | 1–4 | 20.00% |
| Roviqp vs Zafina | 4–0 | 100.00% |
| Roviqp vs Fahkumram | 2–1 | 66.67% |
| Roviqp vs Panda | 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.