| findrm vs King | 25–41 | 37.88% |
| findrm vs Kazuya | 25–36 | 40.98% |
| findrm vs Hwoarang | 25–33 | 43.10% |
| findrm vs Reina | 36–19 | 65.45% |
| findrm vs Law | 26–27 | 49.06% |
| findrm vs Jin | 20–32 | 38.46% |
| findrm vs Heihachi | 27–22 | 55.10% |
| findrm vs Steve | 15–20 | 42.86% |
| findrm vs Bryan | 17–13 | 56.67% |
| findrm vs Clive | 10–19 | 34.48% |
| findrm vs Dragunov | 13–13 | 50.00% |
| findrm vs Yoshimitsu | 8–17 | 32.00% |
| findrm vs Azucena | 13–12 | 52.00% |
| findrm vs Lidia | 17–8 | 68.00% |
| findrm vs Jun | 13–10 | 56.52% |
| findrm vs Feng | 10–11 | 47.62% |
| findrm vs Nina | 8–12 | 40.00% |
| findrm vs Lee | 9–11 | 45.00% |
| findrm vs Lili | 11–8 | 57.89% |
| findrm vs Xiaoyu | 5–12 | 29.41% |
| findrm vs Alisa | 10–6 | 62.50% |
| findrm vs Paul | 7–6 | 53.85% |
| findrm vs Jack-8 | 8–5 | 61.54% |
| findrm vs Eddy | 8–5 | 61.54% |
| findrm vs Victor | 6–6 | 50.00% |
| findrm vs Devil Jin | 4–6 | 40.00% |
| findrm vs Leroy | 3–7 | 30.00% |
| findrm vs Leo | 5–4 | 55.56% |
| findrm vs Lars | 4–5 | 44.44% |
| findrm vs Shaheen | 5–3 | 62.50% |
| findrm vs Raven | 3–5 | 37.50% |
| findrm vs Asuka | 2–5 | 28.57% |
| findrm vs Kuma | 5–1 | 83.33% |
| findrm vs Panda | 2–2 | 50.00% |
| findrm vs Claudio | 2–1 | 66.67% |
| findrm vs Anna | 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.