| 創@oki vs Bryan | 184–222 | 45.32% |
| 創@oki vs Dragunov | 176–146 | 54.66% |
| 創@oki vs King | 152–138 | 52.41% |
| 創@oki vs Kazuya | 134–142 | 48.55% |
| 創@oki vs Asuka | 137–120 | 53.31% |
| 創@oki vs Hwoarang | 123–126 | 49.40% |
| 創@oki vs Lili | 125–121 | 50.81% |
| 創@oki vs Yoshimitsu | 102–143 | 41.63% |
| 創@oki vs Steve | 140–104 | 57.38% |
| 創@oki vs Alisa | 130–108 | 54.62% |
| 創@oki vs Feng | 128–95 | 57.40% |
| 創@oki vs Jin | 105–116 | 47.51% |
| 創@oki vs Jack-8 | 117–103 | 53.18% |
| 創@oki vs Reina | 96–114 | 45.71% |
| 創@oki vs Paul | 113–95 | 54.33% |
| 創@oki vs Victor | 82–121 | 40.39% |
| 創@oki vs Devil Jin | 83–114 | 42.13% |
| 創@oki vs Lars | 96–98–1 | 49.48% |
| 創@oki vs Law | 111–83 | 57.22% |
| 創@oki vs Azucena | 101–88 | 53.44% |
| 創@oki vs Eddy | 89–88 | 50.28% |
| 創@oki vs Heihachi | 97–80 | 54.80% |
| 創@oki vs Fahkumram | 80–96 | 45.45% |
| 創@oki vs Leo | 83–89 | 48.26% |
| 創@oki vs Nina | 81–80 | 50.31% |
| 創@oki vs Claudio | 71–89 | 44.38% |
| 創@oki vs Xiaoyu | 74–83 | 47.13% |
| 創@oki vs Lee | 78–79 | 49.68% |
| 創@oki vs Jun | 82–75 | 52.23% |
| 創@oki vs Shaheen | 77–70 | 52.38% |
| 創@oki vs Lidia | 67–77 | 46.53% |
| 創@oki vs Zafina | 67–72 | 48.20% |
| 創@oki vs Raven | 60–78 | 43.48% |
| 創@oki vs Leroy | 63–74 | 45.99% |
| 創@oki vs Armor King | 69–67–1 | 50.74% |
| 創@oki vs Clive | 52–65 | 44.44% |
| 創@oki vs Anna | 43–40 | 51.81% |
| 創@oki vs Kuma | 40–41 | 49.38% |
| 創@oki vs Panda | 26–49 | 34.67% |
| 創@oki vs Miary Zo | 22–31 | 41.51% |
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.