| reinafeetlover vs Kazuya | 125–98 | 56.05% |
| reinafeetlover vs Jin | 115–87 | 56.93% |
| reinafeetlover vs Dragunov | 106–73 | 59.22% |
| reinafeetlover vs Paul | 100–58 | 63.29% |
| reinafeetlover vs King | 101–53 | 65.58% |
| reinafeetlover vs Bryan | 76–68 | 52.78% |
| reinafeetlover vs Reina | 79–57 | 58.09% |
| reinafeetlover vs Steve | 63–56 | 52.94% |
| reinafeetlover vs Law | 54–52 | 50.94% |
| reinafeetlover vs Hwoarang | 56–48 | 53.85% |
| reinafeetlover vs Yoshimitsu | 60–41 | 59.41% |
| reinafeetlover vs Devil Jin | 48–43 | 52.75% |
| reinafeetlover vs Heihachi | 57–33 | 63.33% |
| reinafeetlover vs Victor | 60–28 | 68.18% |
| reinafeetlover vs Lili | 54–30 | 64.29% |
| reinafeetlover vs Lee | 45–39 | 53.57% |
| reinafeetlover vs Jun | 40–35 | 53.33% |
| reinafeetlover vs Nina | 34–40 | 45.95% |
| reinafeetlover vs Azucena | 43–31 | 58.11% |
| reinafeetlover vs Xiaoyu | 38–35 | 52.05% |
| reinafeetlover vs Asuka | 34–30 | 53.12% |
| reinafeetlover vs Lars | 29–32 | 47.54% |
| reinafeetlover vs Clive | 18–37 | 32.73% |
| reinafeetlover vs Feng | 29–25 | 53.70% |
| reinafeetlover vs Claudio | 32–22 | 59.26% |
| reinafeetlover vs Lidia | 33–13 | 71.74% |
| reinafeetlover vs Eddy | 26–19 | 57.78% |
| reinafeetlover vs Alisa | 29–15 | 65.91% |
| reinafeetlover vs Jack-8 | 18–21 | 46.15% |
| reinafeetlover vs Leo | 18–17 | 51.43% |
| reinafeetlover vs Kuma | 18–14 | 56.25% |
| reinafeetlover vs Shaheen | 16–14 | 53.33% |
| reinafeetlover vs Zafina | 11–19 | 36.67% |
| reinafeetlover vs Leroy | 15–15 | 50.00% |
| reinafeetlover vs Raven | 8–21 | 27.59% |
| reinafeetlover vs Panda | 3–4 | 42.86% |
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.