| Mystery vs Kazuya | 20–36 | 35.71% |
| Mystery vs Reina | 29–21 | 58.00% |
| Mystery vs Jin | 9–28 | 24.32% |
| Mystery vs Hwoarang | 14–21 | 40.00% |
| Mystery vs Law | 15–19 | 44.12% |
| Mystery vs Lidia | 18–15 | 54.55% |
| Mystery vs Bryan | 11–21 | 34.38% |
| Mystery vs Steve | 16–15 | 51.61% |
| Mystery vs Yoshimitsu | 13–15 | 46.43% |
| Mystery vs Paul | 9–16 | 36.00% |
| Mystery vs King | 11–13 | 45.83% |
| Mystery vs Dragunov | 9–13 | 40.91% |
| Mystery vs Lili | 14–7 | 66.67% |
| Mystery vs Eddy | 4–15 | 21.05% |
| Mystery vs Asuka | 7–11 | 38.89% |
| Mystery vs Kuma | 7–10 | 41.18% |
| Mystery vs Jun | 10–7 | 58.82% |
| Mystery vs Azucena | 11–6 | 64.71% |
| Mystery vs Xiaoyu | 8–8 | 50.00% |
| Mystery vs Victor | 4–11 | 26.67% |
| Mystery vs Feng | 4–9 | 30.77% |
| Mystery vs Lee | 7–6 | 53.85% |
| Mystery vs Raven | 6–7 | 46.15% |
| Mystery vs Nina | 6–6 | 50.00% |
| Mystery vs Devil Jin | 2–8 | 20.00% |
| Mystery vs Leo | 3–7 | 30.00% |
| Mystery vs Heihachi | 7–3 | 70.00% |
| Mystery vs Clive | 3–7 | 30.00% |
| Mystery vs Alisa | 4–5 | 44.44% |
| Mystery vs Claudio | 3–6 | 33.33% |
| Mystery vs Jack-8 | 1–6 | 14.29% |
| Mystery vs Lars | 1–6 | 14.29% |
| Mystery vs Anna | 5–2 | 71.43% |
| Mystery vs Leroy | 3–3 | 50.00% |
| Mystery vs Zafina | 0–4 | 0.00% |
| Mystery vs Shaheen | 2–1 | 66.67% |
| Mystery vs Fahkumram | 0–2 | 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.