| °Ranmaµ vs Steve | 35–32 | 52.24% |
| °Ranmaµ vs Armor King | 31–33 | 48.44% |
| °Ranmaµ vs King | 30–33 | 47.62% |
| °Ranmaµ vs Kazuya | 29–27 | 51.79% |
| °Ranmaµ vs Dragunov | 21–30 | 41.18% |
| °Ranmaµ vs Miary Zo | 30–20 | 60.00% |
| °Ranmaµ vs Paul | 21–22 | 48.84% |
| °Ranmaµ vs Law | 23–19 | 54.76% |
| °Ranmaµ vs Lee | 25–17 | 59.52% |
| °Ranmaµ vs Jin | 16–25 | 39.02% |
| °Ranmaµ vs Yoshimitsu | 18–21 | 46.15% |
| °Ranmaµ vs Eddy | 23–12 | 65.71% |
| °Ranmaµ vs Hwoarang | 15–17 | 46.88% |
| °Ranmaµ vs Bryan | 18–14 | 56.25% |
| °Ranmaµ vs Fahkumram | 16–16 | 50.00% |
| °Ranmaµ vs Lili | 10–18 | 35.71% |
| °Ranmaµ vs Reina | 11–17 | 39.29% |
| °Ranmaµ vs Heihachi | 14–11 | 56.00% |
| °Ranmaµ vs Victor | 11–12 | 47.83% |
| °Ranmaµ vs Jun | 12–9 | 57.14% |
| °Ranmaµ vs Anna | 12–9 | 57.14% |
| °Ranmaµ vs Devil Jin | 14–6 | 70.00% |
| °Ranmaµ vs Azucena | 10–9 | 52.63% |
| °Ranmaµ vs Xiaoyu | 8–10 | 44.44% |
| °Ranmaµ vs Nina | 7–9 | 43.75% |
| °Ranmaµ vs Lars | 9–6 | 60.00% |
| °Ranmaµ vs Lidia | 4–10 | 28.57% |
| °Ranmaµ vs Jack-8 | 7–6 | 53.85% |
| °Ranmaµ vs Asuka | 5–8 | 38.46% |
| °Ranmaµ vs Feng | 4–8 | 33.33% |
| °Ranmaµ vs Leroy | 6–6 | 50.00% |
| °Ranmaµ vs Clive | 9–3 | 75.00% |
| °Ranmaµ vs Claudio | 7–4 | 63.64% |
| °Ranmaµ vs Alisa | 2–8 | 20.00% |
| °Ranmaµ vs Raven | 6–3 | 66.67% |
| °Ranmaµ vs Leo | 1–7 | 12.50% |
| °Ranmaµ vs Shaheen | 4–4 | 50.00% |
| °Ranmaµ vs Zafina | 4–3 | 57.14% |
| °Ranmaµ vs Kuma | 1–1 | 50.00% |
| °Ranmaµ vs Panda | 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.