| 0xDaemon vs Heihachi | 19–40 | 32.20% |
| 0xDaemon vs Jin | 11–32 | 25.58% |
| 0xDaemon vs Hwoarang | 17–21 | 44.74% |
| 0xDaemon vs King | 13–24 | 35.14% |
| 0xDaemon vs Kazuya | 11–23 | 32.35% |
| 0xDaemon vs Yoshimitsu | 18–15 | 54.55% |
| 0xDaemon vs Steve | 16–15 | 51.61% |
| 0xDaemon vs Law | 7–23 | 23.33% |
| 0xDaemon vs Victor | 16–14 | 53.33% |
| 0xDaemon vs Reina | 14–15 | 48.28% |
| 0xDaemon vs Lili | 13–15 | 46.43% |
| 0xDaemon vs Lidia | 11–12 | 47.83% |
| 0xDaemon vs Asuka | 6–15 | 28.57% |
| 0xDaemon vs Jun | 12–9 | 57.14% |
| 0xDaemon vs Eddy | 6–15 | 28.57% |
| 0xDaemon vs Bryan | 3–14 | 17.65% |
| 0xDaemon vs Dragunov | 2–14 | 12.50% |
| 0xDaemon vs Devil Jin | 2–13 | 13.33% |
| 0xDaemon vs Nina | 9–6 | 60.00% |
| 0xDaemon vs Xiaoyu | 3–11 | 21.43% |
| 0xDaemon vs Lars | 4–9 | 30.77% |
| 0xDaemon vs Azucena | 7–6 | 53.85% |
| 0xDaemon vs Lee | 5–4 | 55.56% |
| 0xDaemon vs Leroy | 7–2 | 77.78% |
| 0xDaemon vs Leo | 4–4 | 50.00% |
| 0xDaemon vs Paul | 3–4 | 42.86% |
| 0xDaemon vs Jack-8 | 0–6 | 0.00% |
| 0xDaemon vs Alisa | 1–4 | 20.00% |
| 0xDaemon vs Zafina | 2–2 | 50.00% |
| 0xDaemon vs Anna | 2–2 | 50.00% |
| 0xDaemon vs Claudio | 1–2 | 33.33% |
| 0xDaemon vs Shaheen | 2–1 | 66.67% |
| 0xDaemon vs Feng | 1–0 | 100.00% |
| 0xDaemon vs Kuma | 1–0 | 100.00% |
| 0xDaemon vs Panda | 0–1 | 0.00% |
| 0xDaemon vs Clive | 1–0 | 100.00% |
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.