| 1000 Fades vs Reina | 30–52 | 36.59% |
| 1000 Fades vs King | 30–38 | 44.12% |
| 1000 Fades vs Dragunov | 14–34 | 29.17% |
| 1000 Fades vs Kazuya | 21–21 | 50.00% |
| 1000 Fades vs Lili | 17–19 | 47.22% |
| 1000 Fades vs Asuka | 17–18 | 48.57% |
| 1000 Fades vs Jin | 10–24 | 29.41% |
| 1000 Fades vs Paul | 13–20 | 39.39% |
| 1000 Fades vs Hwoarang | 12–18 | 40.00% |
| 1000 Fades vs Bryan | 12–18 | 40.00% |
| 1000 Fades vs Steve | 11–19 | 36.67% |
| 1000 Fades vs Victor | 8–22 | 26.67% |
| 1000 Fades vs Devil Jin | 12–17 | 41.38% |
| 1000 Fades vs Heihachi | 7–20 | 25.93% |
| 1000 Fades vs Armor King | 9–18 | 33.33% |
| 1000 Fades vs Eddy | 4–20 | 16.67% |
| 1000 Fades vs Lidia | 8–16 | 33.33% |
| 1000 Fades vs Jun | 10–12 | 45.45% |
| 1000 Fades vs Anna | 6–16 | 27.27% |
| 1000 Fades vs Miary Zo | 11–10 | 52.38% |
| 1000 Fades vs Alisa | 5–15 | 25.00% |
| 1000 Fades vs Leo | 7–11 | 38.89% |
| 1000 Fades vs Claudio | 5–13 | 27.78% |
| 1000 Fades vs Azucena | 4–11 | 26.67% |
| 1000 Fades vs Yoshimitsu | 2–11 | 15.38% |
| 1000 Fades vs Nina | 3–10 | 23.08% |
| 1000 Fades vs Lee | 2–10 | 16.67% |
| 1000 Fades vs Law | 2–8 | 20.00% |
| 1000 Fades vs Leroy | 3–6 | 33.33% |
| 1000 Fades vs Feng | 4–4 | 50.00% |
| 1000 Fades vs Kuma | 3–5 | 37.50% |
| 1000 Fades vs Lars | 3–4 | 42.86% |
| 1000 Fades vs Shaheen | 0–7 | 0.00% |
| 1000 Fades vs Panda | 3–4 | 42.86% |
| 1000 Fades vs Zafina | 2–5 | 28.57% |
| 1000 Fades vs Clive | 3–4 | 42.86% |
| 1000 Fades vs Fahkumram | 1–6 | 14.29% |
| 1000 Fades vs Xiaoyu | 5–1 | 83.33% |
| 1000 Fades vs Jack-8 | 2–4 | 33.33% |
| 1000 Fades vs Raven | 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.