| K4ENSID vs Jin | 140–110 | 56.00% |
| K4ENSID vs Bryan | 94–115 | 44.98% |
| K4ENSID vs Kazuya | 114–84 | 57.58% |
| K4ENSID vs Hwoarang | 97–86 | 53.01% |
| K4ENSID vs Lili | 74–98 | 43.02% |
| K4ENSID vs Paul | 73–85 | 46.20% |
| K4ENSID vs King | 79–76 | 50.97% |
| K4ENSID vs Dragunov | 72–83 | 46.45% |
| K4ENSID vs Yoshimitsu | 74–71 | 51.03% |
| K4ENSID vs Law | 71–73 | 49.31% |
| K4ENSID vs Devil Jin | 71–69 | 50.71% |
| K4ENSID vs Steve | 62–67 | 48.06% |
| K4ENSID vs Reina | 75–54 | 58.14% |
| K4ENSID vs Xiaoyu | 50–68 | 42.37% |
| K4ENSID vs Lars | 58–58 | 50.00% |
| K4ENSID vs Lee | 68–44 | 60.71% |
| K4ENSID vs Azucena | 47–58 | 44.76% |
| K4ENSID vs Jun | 54–50 | 51.92% |
| K4ENSID vs Eddy | 39–57 | 40.62% |
| K4ENSID vs Victor | 44–49 | 47.31% |
| K4ENSID vs Asuka | 45–42–1 | 51.72% |
| K4ENSID vs Leo | 41–45 | 47.67% |
| K4ENSID vs Heihachi | 41–45 | 47.67% |
| K4ENSID vs Armor King | 34–50 | 40.48% |
| K4ENSID vs Nina | 43–37 | 53.75% |
| K4ENSID vs Clive | 39–39 | 50.00% |
| K4ENSID vs Shaheen | 31–42 | 42.47% |
| K4ENSID vs Feng | 36–36 | 50.00% |
| K4ENSID vs Alisa | 29–36 | 44.62% |
| K4ENSID vs Jack-8 | 31–33 | 48.44% |
| K4ENSID vs Claudio | 31–32 | 49.21% |
| K4ENSID vs Zafina | 28–32 | 46.67% |
| K4ENSID vs Leroy | 24–29 | 45.28% |
| K4ENSID vs Fahkumram | 25–28 | 47.17% |
| K4ENSID vs Lidia | 25–27 | 48.08% |
| K4ENSID vs Raven | 26–25 | 50.98% |
| K4ENSID vs Anna | 23–26 | 46.94% |
| K4ENSID vs Kuma | 20–24 | 45.45% |
| K4ENSID vs Miary Zo | 15–14 | 51.72% |
| K4ENSID vs Panda | 8–12 | 40.00% |
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.