| D37RUMX vs Reina | 69–69 | 50.00% |
| D37RUMX vs Kazuya | 68–68 | 50.00% |
| D37RUMX vs Jin | 64–65 | 49.61% |
| D37RUMX vs King | 54–64 | 45.76% |
| D37RUMX vs Yoshimitsu | 50–52 | 49.02% |
| D37RUMX vs Bryan | 45–39 | 53.57% |
| D37RUMX vs Steve | 39–43 | 47.56% |
| D37RUMX vs Heihachi | 22–58 | 27.50% |
| D37RUMX vs Lidia | 37–39 | 48.68% |
| D37RUMX vs Paul | 24–38 | 38.71% |
| D37RUMX vs Lili | 22–40 | 35.48% |
| D37RUMX vs Clive | 27–35 | 43.55% |
| D37RUMX vs Hwoarang | 18–41 | 30.51% |
| D37RUMX vs Asuka | 29–30 | 49.15% |
| D37RUMX vs Dragunov | 29–29 | 50.00% |
| D37RUMX vs Law | 23–34 | 40.35% |
| D37RUMX vs Lars | 20–34 | 37.04% |
| D37RUMX vs Azucena | 17–37 | 31.48% |
| D37RUMX vs Lee | 26–27 | 49.06% |
| D37RUMX vs Victor | 23–26 | 46.94% |
| D37RUMX vs Jun | 13–27 | 32.50% |
| D37RUMX vs Eddy | 16–24 | 40.00% |
| D37RUMX vs Devil Jin | 19–20 | 48.72% |
| D37RUMX vs Jack-8 | 13–18 | 41.94% |
| D37RUMX vs Xiaoyu | 12–18 | 40.00% |
| D37RUMX vs Leo | 16–13 | 55.17% |
| D37RUMX vs Alisa | 8–18 | 30.77% |
| D37RUMX vs Nina | 15–11 | 57.69% |
| D37RUMX vs Raven | 10–14 | 41.67% |
| D37RUMX vs Feng | 10–13 | 43.48% |
| D37RUMX vs Kuma | 15–8 | 65.22% |
| D37RUMX vs Leroy | 10–11 | 47.62% |
| D37RUMX vs Claudio | 7–3 | 70.00% |
| D37RUMX vs Shaheen | 4–5 | 44.44% |
| D37RUMX vs Zafina | 2–6 | 25.00% |
| D37RUMX vs Panda | 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.