| K4IIDOO vs King | 46–47 | 49.46% |
| K4IIDOO vs Jin | 38–55 | 40.86% |
| K4IIDOO vs Kazuya | 36–50 | 41.86% |
| K4IIDOO vs Reina | 45–40 | 52.94% |
| K4IIDOO vs Paul | 45–37 | 54.88% |
| K4IIDOO vs Dragunov | 34–47 | 41.98% |
| K4IIDOO vs Hwoarang | 36–44 | 45.00% |
| K4IIDOO vs Bryan | 32–48 | 40.00% |
| K4IIDOO vs Asuka | 31–38 | 44.93% |
| K4IIDOO vs Jun | 27–38 | 41.54% |
| K4IIDOO vs Victor | 25–30 | 45.45% |
| K4IIDOO vs Nina | 24–29 | 45.28% |
| K4IIDOO vs Yoshimitsu | 25–27 | 48.08% |
| K4IIDOO vs Lili | 29–23 | 55.77% |
| K4IIDOO vs Azucena | 22–29 | 43.14% |
| K4IIDOO vs Devil Jin | 31–17 | 64.58% |
| K4IIDOO vs Alisa | 26–22 | 54.17% |
| K4IIDOO vs Law | 24–21 | 53.33% |
| K4IIDOO vs Feng | 21–22 | 48.84% |
| K4IIDOO vs Lars | 16–23 | 41.03% |
| K4IIDOO vs Eddy | 16–22 | 42.11% |
| K4IIDOO vs Leroy | 14–23 | 37.84% |
| K4IIDOO vs Clive | 12–23 | 34.29% |
| K4IIDOO vs Xiaoyu | 20–14 | 58.82% |
| K4IIDOO vs Steve | 20–14 | 58.82% |
| K4IIDOO vs Claudio | 15–19 | 44.12% |
| K4IIDOO vs Lidia | 9–19 | 32.14% |
| K4IIDOO vs Leo | 11–16 | 40.74% |
| K4IIDOO vs Jack-8 | 8–18 | 30.77% |
| K4IIDOO vs Lee | 11–15 | 42.31% |
| K4IIDOO vs Kuma | 12–13 | 48.00% |
| K4IIDOO vs Zafina | 9–13 | 40.91% |
| K4IIDOO vs Raven | 8–11 | 42.11% |
| K4IIDOO vs Heihachi | 6–8 | 42.86% |
| K4IIDOO vs Panda | 5–5 | 50.00% |
| K4IIDOO vs Shaheen | 5–2 | 71.43% |
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.