| R4m3N vs Kazuya | 83–60 | 58.04% |
| R4m3N vs Bryan | 70–65 | 51.85% |
| R4m3N vs Jin | 87–44 | 66.41% |
| R4m3N vs King | 70–40 | 63.64% |
| R4m3N vs Steve | 65–37 | 63.73% |
| R4m3N vs Heihachi | 66–34 | 66.00% |
| R4m3N vs Reina | 57–37 | 60.64% |
| R4m3N vs Hwoarang | 48–37 | 56.47% |
| R4m3N vs Dragunov | 61–22 | 73.49% |
| R4m3N vs Law | 56–25 | 69.14% |
| R4m3N vs Eddy | 42–28 | 60.00% |
| R4m3N vs Yoshimitsu | 40–27 | 59.70% |
| R4m3N vs Lee | 42–21 | 66.67% |
| R4m3N vs Lili | 43–19 | 69.35% |
| R4m3N vs Azucena | 37–21 | 63.79% |
| R4m3N vs Nina | 28–28 | 50.00% |
| R4m3N vs Jun | 27–28 | 49.09% |
| R4m3N vs Raven | 36–19 | 65.45% |
| R4m3N vs Victor | 30–23 | 56.60% |
| R4m3N vs Xiaoyu | 32–20 | 61.54% |
| R4m3N vs Leroy | 30–21 | 58.82% |
| R4m3N vs Paul | 33–16 | 67.35% |
| R4m3N vs Devil Jin | 33–16 | 67.35% |
| R4m3N vs Asuka | 26–22 | 54.17% |
| R4m3N vs Alisa | 21–26 | 44.68% |
| R4m3N vs Lars | 27–15 | 64.29% |
| R4m3N vs Leo | 25–16 | 60.98% |
| R4m3N vs Jack-8 | 23–15 | 60.53% |
| R4m3N vs Claudio | 23–15 | 60.53% |
| R4m3N vs Feng | 23–11 | 67.65% |
| R4m3N vs Kuma | 24–8 | 75.00% |
| R4m3N vs Panda | 9–17 | 34.62% |
| R4m3N vs Lidia | 17–8 | 68.00% |
| R4m3N vs Shaheen | 13–8 | 61.90% |
| R4m3N vs Zafina | 12–2 | 85.71% |
| R4m3N vs Clive | 1–2 | 33.33% |
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.