| RunarVim vs King | 13–21 | 38.24% |
| RunarVim vs Reina | 13–21 | 38.24% |
| RunarVim vs Law | 11–22 | 33.33% |
| RunarVim vs Steve | 15–13 | 53.57% |
| RunarVim vs Jin | 6–17 | 26.09% |
| RunarVim vs Asuka | 6–15 | 28.57% |
| RunarVim vs Dragunov | 4–13 | 23.53% |
| RunarVim vs Devil Jin | 6–9 | 40.00% |
| RunarVim vs Heihachi | 4–11 | 26.67% |
| RunarVim vs Jun | 6–8 | 42.86% |
| RunarVim vs Eddy | 6–8 | 42.86% |
| RunarVim vs Hwoarang | 1–12 | 7.69% |
| RunarVim vs Kazuya | 0–10 | 0.00% |
| RunarVim vs Lili | 1–9 | 10.00% |
| RunarVim vs Miary Zo | 4–6 | 40.00% |
| RunarVim vs Lidia | 4–4 | 50.00% |
| RunarVim vs Paul | 1–6 | 14.29% |
| RunarVim vs Feng | 2–5 | 28.57% |
| RunarVim vs Lars | 2–5 | 28.57% |
| RunarVim vs Lee | 6–1 | 85.71% |
| RunarVim vs Zafina | 4–3 | 57.14% |
| RunarVim vs Bryan | 2–3 | 40.00% |
| RunarVim vs Leo | 1–4 | 20.00% |
| RunarVim vs Alisa | 1–4 | 20.00% |
| RunarVim vs Claudio | 1–4 | 20.00% |
| RunarVim vs Anna | 3–2 | 60.00% |
| RunarVim vs Xiaoyu | 1–3 | 25.00% |
| RunarVim vs Victor | 1–2 | 33.33% |
| RunarVim vs Clive | 1–2 | 33.33% |
| RunarVim vs Armor King | 0–3 | 0.00% |
| RunarVim vs Yoshimitsu | 2–0 | 100.00% |
| RunarVim vs Kuma | 2–0 | 100.00% |
| RunarVim vs Azucena | 2–0 | 100.00% |
| RunarVim vs Fahkumram | 1–1 | 50.00% |
| RunarVim vs Raven | 1–0 | 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.