| unkn0 vs Dragunov | 77–67 | 53.47% |
| unkn0 vs Jin | 67–57 | 54.03% |
| unkn0 vs Hwoarang | 45–76 | 37.19% |
| unkn0 vs Kazuya | 60–57 | 51.28% |
| unkn0 vs Paul | 52–62 | 45.61% |
| unkn0 vs King | 67–42 | 61.47% |
| unkn0 vs Bryan | 41–61 | 40.20% |
| unkn0 vs Reina | 40–59 | 40.40% |
| unkn0 vs Steve | 44–37 | 54.32% |
| unkn0 vs Lili | 41–39 | 51.25% |
| unkn0 vs Law | 25–42 | 37.31% |
| unkn0 vs Devil Jin | 31–32 | 49.21% |
| unkn0 vs Victor | 35–28 | 55.56% |
| unkn0 vs Jun | 27–32 | 45.76% |
| unkn0 vs Asuka | 25–32 | 43.86% |
| unkn0 vs Azucena | 26–26 | 50.00% |
| unkn0 vs Yoshimitsu | 21–30 | 41.18% |
| unkn0 vs Lee | 18–30 | 37.50% |
| unkn0 vs Nina | 15–31 | 32.61% |
| unkn0 vs Xiaoyu | 15–29 | 34.09% |
| unkn0 vs Feng | 25–19 | 56.82% |
| unkn0 vs Alisa | 21–21 | 50.00% |
| unkn0 vs Lidia | 16–26 | 38.10% |
| unkn0 vs Leo | 13–25 | 34.21% |
| unkn0 vs Leroy | 14–24 | 36.84% |
| unkn0 vs Claudio | 17–20 | 45.95% |
| unkn0 vs Eddy | 15–22 | 40.54% |
| unkn0 vs Lars | 14–22 | 38.89% |
| unkn0 vs Shaheen | 16–11 | 59.26% |
| unkn0 vs Clive | 9–16 | 36.00% |
| unkn0 vs Heihachi | 13–11 | 54.17% |
| unkn0 vs Zafina | 10–13 | 43.48% |
| unkn0 vs Kuma | 8–12 | 40.00% |
| unkn0 vs Raven | 8–12 | 40.00% |
| unkn0 vs Jack-8 | 4–13 | 23.53% |
| unkn0 vs Anna | 5–11 | 31.25% |
| unkn0 vs Panda | 5–4 | 55.56% |
| unkn0 vs Fahkumram | 1–6 | 14.29% |
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.