| dyisfaftyx vs Lili | 4–18 | 18.18% |
| dyisfaftyx vs Reina | 13–9 | 59.09% |
| dyisfaftyx vs Miary Zo | 9–13 | 40.91% |
| dyisfaftyx vs King | 5–16 | 23.81% |
| dyisfaftyx vs Victor | 7–10 | 41.18% |
| dyisfaftyx vs Steve | 2–11 | 15.38% |
| dyisfaftyx vs Lee | 5–8 | 38.46% |
| dyisfaftyx vs Bryan | 6–6 | 50.00% |
| dyisfaftyx vs Alisa | 5–6 | 45.45% |
| dyisfaftyx vs Hwoarang | 5–5 | 50.00% |
| dyisfaftyx vs Jin | 4–6 | 40.00% |
| dyisfaftyx vs Dragunov | 3–7 | 30.00% |
| dyisfaftyx vs Jun | 3–7 | 30.00% |
| dyisfaftyx vs Azucena | 4–6 | 40.00% |
| dyisfaftyx vs Paul | 3–6 | 33.33% |
| dyisfaftyx vs Fahkumram | 3–6 | 33.33% |
| dyisfaftyx vs Law | 2–6 | 25.00% |
| dyisfaftyx vs Asuka | 3–5 | 37.50% |
| dyisfaftyx vs Eddy | 2–5 | 28.57% |
| dyisfaftyx vs Lidia | 3–4 | 42.86% |
| dyisfaftyx vs Jack-8 | 2–4 | 33.33% |
| dyisfaftyx vs Nina | 4–2 | 66.67% |
| dyisfaftyx vs Clive | 1–5 | 16.67% |
| dyisfaftyx vs Kazuya | 1–4 | 20.00% |
| dyisfaftyx vs Armor King | 1–4 | 20.00% |
| dyisfaftyx vs Yoshimitsu | 3–1 | 75.00% |
| dyisfaftyx vs Xiaoyu | 0–4 | 0.00% |
| dyisfaftyx vs Raven | 3–1 | 75.00% |
| dyisfaftyx vs Anna | 0–4 | 0.00% |
| dyisfaftyx vs Lars | 1–2 | 33.33% |
| dyisfaftyx vs Shaheen | 1–2 | 33.33% |
| dyisfaftyx vs Zafina | 2–1 | 66.67% |
| dyisfaftyx vs Devil Jin | 2–0 | 100.00% |
| dyisfaftyx vs Feng | 0–1 | 0.00% |
| dyisfaftyx vs Claudio | 0–1 | 0.00% |
| dyisfaftyx vs Kuma | 0–1 | 0.00% |
| dyisfaftyx vs Leroy | 0–1 | 0.00% |
| dyisfaftyx vs Heihachi | 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.