| Ricrán vs Bryan | 19–7 | 73.08% |
| Ricrán vs Reina | 14–11 | 56.00% |
| Ricrán vs Paul | 14–5 | 73.68% |
| Ricrán vs Heihachi | 14–5 | 73.68% |
| Ricrán vs King | 12–4 | 75.00% |
| Ricrán vs Lee | 8–8 | 50.00% |
| Ricrán vs Law | 11–3 | 78.57% |
| Ricrán vs Kazuya | 11–1 | 91.67% |
| Ricrán vs Dragunov | 6–3 | 66.67% |
| Ricrán vs Leroy | 6–3 | 66.67% |
| Ricrán vs Lidia | 5–4 | 55.56% |
| Ricrán vs Jin | 5–3 | 62.50% |
| Ricrán vs Zafina | 2–6 | 25.00% |
| Ricrán vs Jun | 6–2 | 75.00% |
| Ricrán vs Lili | 7–0 | 100.00% |
| Ricrán vs Clive | 5–2 | 71.43% |
| Ricrán vs Miary Zo | 3–4 | 42.86% |
| Ricrán vs Yoshimitsu | 6–0 | 100.00% |
| Ricrán vs Xiaoyu | 4–2 | 66.67% |
| Ricrán vs Feng | 4–2 | 66.67% |
| Ricrán vs Lars | 3–3 | 50.00% |
| Ricrán vs Alisa | 5–1 | 83.33% |
| Ricrán vs Eddy | 6–0 | 100.00% |
| Ricrán vs Asuka | 5–0 | 100.00% |
| Ricrán vs Claudio | 4–1 | 80.00% |
| Ricrán vs Kuma | 1–4 | 20.00% |
| Ricrán vs Raven | 3–2 | 60.00% |
| Ricrán vs Devil Jin | 2–2 | 50.00% |
| Ricrán vs Leo | 2–2 | 50.00% |
| Ricrán vs Shaheen | 3–1 | 75.00% |
| Ricrán vs Victor | 3–1 | 75.00% |
| Ricrán vs Fahkumram | 2–2 | 50.00% |
| Ricrán vs Armor King | 4–0 | 100.00% |
| Ricrán vs Steve | 3–0 | 100.00% |
| Ricrán vs Jack-8 | 3–0 | 100.00% |
| Ricrán vs Anna | 2–1 | 66.67% |
| Ricrán vs Hwoarang | 1–1 | 50.00% |
| Ricrán vs Azucena | 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.