| _67k vs Bryan | 106–98 | 51.96% |
| _67k vs Kazuya | 104–94 | 52.53% |
| _67k vs Jin | 105–74 | 58.66% |
| _67k vs King | 80–68 | 54.05% |
| _67k vs Armor King | 63–68 | 48.09% |
| _67k vs Steve | 48–54–1 | 47.06% |
| _67k vs Dragunov | 41–62 | 39.81% |
| _67k vs Heihachi | 49–52 | 48.51% |
| _67k vs Paul | 48–52 | 48.00% |
| _67k vs Hwoarang | 40–52 | 43.48% |
| _67k vs Law | 46–42 | 52.27% |
| _67k vs Devil Jin | 25–37 | 40.32% |
| _67k vs Nina | 31–28 | 52.54% |
| _67k vs Yoshimitsu | 26–20 | 56.52% |
| _67k vs Lee | 22–23 | 48.89% |
| _67k vs Anna | 19–25 | 43.18% |
| _67k vs Clive | 14–24 | 36.84% |
| _67k vs Claudio | 16–21 | 43.24% |
| _67k vs Reina | 14–21 | 40.00% |
| _67k vs Victor | 19–16 | 54.29% |
| _67k vs Lars | 14–20 | 41.18% |
| _67k vs Fahkumram | 14–20 | 41.18% |
| _67k vs Jun | 15–17 | 46.88% |
| _67k vs Eddy | 14–16 | 46.67% |
| _67k vs Lidia | 12–16 | 42.86% |
| _67k vs Asuka | 9–18 | 33.33% |
| _67k vs Azucena | 12–15 | 44.44% |
| _67k vs Feng | 12–12 | 50.00% |
| _67k vs Lili | 10–13 | 43.48% |
| _67k vs Zafina | 10–9 | 52.63% |
| _67k vs Jack-8 | 9–9 | 50.00% |
| _67k vs Alisa | 7–9 | 43.75% |
| _67k vs Shaheen | 7–9 | 43.75% |
| _67k vs Leroy | 8–7 | 53.33% |
| _67k vs Leo | 6–8 | 42.86% |
| _67k vs Kuma | 2–7 | 22.22% |
| _67k vs Miary Zo | 5–3 | 62.50% |
| _67k vs Xiaoyu | 3–2 | 60.00% |
| _67k vs Raven | 3–0 | 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.