| Rmlfl vs Bryan | 62–60 | 50.82% |
| Rmlfl vs Dragunov | 69–37 | 65.09% |
| Rmlfl vs Paul | 78–27 | 74.29% |
| Rmlfl vs Kazuya | 59–45 | 56.73% |
| Rmlfl vs Hwoarang | 70–28 | 71.43% |
| Rmlfl vs Jin | 44–50 | 46.81% |
| Rmlfl vs King | 49–29 | 62.82% |
| Rmlfl vs Reina | 39–31 | 55.71% |
| Rmlfl vs Victor | 36–29 | 55.38% |
| Rmlfl vs Yoshimitsu | 38–26 | 59.38% |
| Rmlfl vs Steve | 37–24 | 60.66% |
| Rmlfl vs Lili | 31–24 | 56.36% |
| Rmlfl vs Feng | 26–26 | 50.00% |
| Rmlfl vs Law | 38–13 | 74.51% |
| Rmlfl vs Xiaoyu | 28–21 | 57.14% |
| Rmlfl vs Asuka | 33–15 | 68.75% |
| Rmlfl vs Jun | 26–20 | 56.52% |
| Rmlfl vs Lars | 22–20 | 52.38% |
| Rmlfl vs Shaheen | 22–17 | 56.41% |
| Rmlfl vs Leroy | 25–12 | 67.57% |
| Rmlfl vs Azucena | 18–19 | 48.65% |
| Rmlfl vs Heihachi | 20–17 | 54.05% |
| Rmlfl vs Leo | 19–17 | 52.78% |
| Rmlfl vs Claudio | 24–9 | 72.73% |
| Rmlfl vs Nina | 18–13 | 58.06% |
| Rmlfl vs Lee | 15–15 | 50.00% |
| Rmlfl vs Devil Jin | 18–11 | 62.07% |
| Rmlfl vs Alisa | 18–10 | 64.29% |
| Rmlfl vs Zafina | 18–8 | 69.23% |
| Rmlfl vs Eddy | 11–14 | 44.00% |
| Rmlfl vs Lidia | 17–8 | 68.00% |
| Rmlfl vs Jack-8 | 12–10 | 54.55% |
| Rmlfl vs Raven | 10–12 | 45.45% |
| Rmlfl vs Kuma | 10–10 | 50.00% |
| Rmlfl vs Anna | 10–9 | 52.63% |
| Rmlfl vs Clive | 10–7 | 58.82% |
| Rmlfl vs Panda | 4–4 | 50.00% |
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.