| RUSLOM vs Kazuya | 112–122 | 47.86% |
| RUSLOM vs Jin | 110–121 | 47.62% |
| RUSLOM vs Steve | 99–96 | 50.77% |
| RUSLOM vs Reina | 120–73 | 62.18% |
| RUSLOM vs Dragunov | 81–77 | 51.27% |
| RUSLOM vs Bryan | 68–74 | 47.89% |
| RUSLOM vs King | 74–61 | 54.81% |
| RUSLOM vs Law | 58–60 | 49.15% |
| RUSLOM vs Asuka | 59–52 | 53.15% |
| RUSLOM vs Hwoarang | 50–48 | 51.02% |
| RUSLOM vs Jun | 40–57 | 41.24% |
| RUSLOM vs Heihachi | 37–54 | 40.66% |
| RUSLOM vs Yoshimitsu | 33–49 | 40.24% |
| RUSLOM vs Victor | 44–37 | 54.32% |
| RUSLOM vs Clive | 25–52 | 32.47% |
| RUSLOM vs Lee | 33–40 | 45.21% |
| RUSLOM vs Devil Jin | 21–42 | 33.33% |
| RUSLOM vs Lili | 26–37 | 41.27% |
| RUSLOM vs Paul | 25–37 | 40.32% |
| RUSLOM vs Lars | 25–36 | 40.98% |
| RUSLOM vs Armor King | 24–33 | 42.11% |
| RUSLOM vs Leo | 21–34 | 38.18% |
| RUSLOM vs Fahkumram | 17–34 | 33.33% |
| RUSLOM vs Alisa | 20–30 | 40.00% |
| RUSLOM vs Xiaoyu | 24–20 | 54.55% |
| RUSLOM vs Azucena | 13–29 | 30.95% |
| RUSLOM vs Feng | 16–25 | 39.02% |
| RUSLOM vs Claudio | 15–25 | 37.50% |
| RUSLOM vs Lidia | 16–23 | 41.03% |
| RUSLOM vs Nina | 17–19 | 47.22% |
| RUSLOM vs Leroy | 16–19 | 45.71% |
| RUSLOM vs Miary Zo | 21–13 | 61.76% |
| RUSLOM vs Anna | 9–14 | 39.13% |
| RUSLOM vs Eddy | 10–10 | 50.00% |
| RUSLOM vs Kuma | 7–11 | 38.89% |
| RUSLOM vs Zafina | 6–12 | 33.33% |
| RUSLOM vs Jack-8 | 7–10 | 41.18% |
| RUSLOM vs Raven | 4–13 | 23.53% |
| RUSLOM vs Shaheen | 4–8 | 33.33% |
| RUSLOM vs Panda | 0–7 | 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.