| XDrDeathX vs Jin | 60–45 | 57.14% |
| XDrDeathX vs King | 48–39 | 55.17% |
| XDrDeathX vs Law | 41–32 | 56.16% |
| XDrDeathX vs Kazuya | 38–32 | 54.29% |
| XDrDeathX vs Hwoarang | 29–33 | 46.77% |
| XDrDeathX vs Steve | 19–35 | 35.19% |
| XDrDeathX vs Bryan | 26–22 | 54.17% |
| XDrDeathX vs Yoshimitsu | 29–17 | 63.04% |
| XDrDeathX vs Eddy | 19–20 | 48.72% |
| XDrDeathX vs Dragunov | 15–20 | 42.86% |
| XDrDeathX vs Armor King | 19–16 | 54.29% |
| XDrDeathX vs Reina | 13–20 | 39.39% |
| XDrDeathX vs Fahkumram | 17–14 | 54.84% |
| XDrDeathX vs Alisa | 20–10 | 66.67% |
| XDrDeathX vs Lili | 13–16 | 44.83% |
| XDrDeathX vs Paul | 16–11 | 59.26% |
| XDrDeathX vs Victor | 17–10 | 62.96% |
| XDrDeathX vs Xiaoyu | 9–16–1 | 36.00% |
| XDrDeathX vs Lars | 12–14 | 46.15% |
| XDrDeathX vs Jun | 12–14 | 46.15% |
| XDrDeathX vs Devil Jin | 14–11 | 56.00% |
| XDrDeathX vs Anna | 14–10 | 58.33% |
| XDrDeathX vs Heihachi | 10–13 | 43.48% |
| XDrDeathX vs Feng | 14–8 | 63.64% |
| XDrDeathX vs Azucena | 10–11 | 47.62% |
| XDrDeathX vs Asuka | 5–14 | 26.32% |
| XDrDeathX vs Jack-8 | 11–6 | 64.71% |
| XDrDeathX vs Lee | 9–8 | 52.94% |
| XDrDeathX vs Nina | 8–8 | 50.00% |
| XDrDeathX vs Raven | 8–8 | 50.00% |
| XDrDeathX vs Lidia | 6–10 | 37.50% |
| XDrDeathX vs Clive | 10–6 | 62.50% |
| XDrDeathX vs Leroy | 9–4 | 69.23% |
| XDrDeathX vs Kuma | 7–5 | 58.33% |
| XDrDeathX vs Leo | 2–8 | 20.00% |
| XDrDeathX vs Claudio | 2–4 | 33.33% |
| XDrDeathX vs Shaheen | 3–3 | 50.00% |
| XDrDeathX vs Zafina | 2–2 | 50.00% |
| XDrDeathX vs Panda | 0–1 | 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.