| Ki_RoosterKill vs King | 4–8 | 33.33% |
| Ki_RoosterKill vs Jin | 5–7 | 41.67% |
| Ki_RoosterKill vs Reina | 7–3 | 70.00% |
| Ki_RoosterKill vs Azucena | 3–5 | 37.50% |
| Ki_RoosterKill vs Victor | 4–3 | 57.14% |
| Ki_RoosterKill vs Lidia | 3–4 | 42.86% |
| Ki_RoosterKill vs Asuka | 2–4 | 33.33% |
| Ki_RoosterKill vs Lili | 2–4 | 33.33% |
| Ki_RoosterKill vs Dragunov | 2–4 | 33.33% |
| Ki_RoosterKill vs Xiaoyu | 1–4 | 20.00% |
| Ki_RoosterKill vs Claudio | 3–2 | 60.00% |
| Ki_RoosterKill vs Lee | 1–4 | 20.00% |
| Ki_RoosterKill vs Law | 2–2 | 50.00% |
| Ki_RoosterKill vs Yoshimitsu | 2–2 | 50.00% |
| Ki_RoosterKill vs Bryan | 2–2 | 50.00% |
| Ki_RoosterKill vs Leo | 3–1 | 75.00% |
| Ki_RoosterKill vs Raven | 3–1 | 75.00% |
| Ki_RoosterKill vs Jack-8 | 0–3 | 0.00% |
| Ki_RoosterKill vs Alisa | 2–1 | 66.67% |
| Ki_RoosterKill vs Nina | 0–3 | 0.00% |
| Ki_RoosterKill vs Hwoarang | 0–2 | 0.00% |
| Ki_RoosterKill vs Feng | 0–2 | 0.00% |
| Ki_RoosterKill vs Shaheen | 0–2 | 0.00% |
| Ki_RoosterKill vs Jun | 0–2 | 0.00% |
| Ki_RoosterKill vs Heihachi | 0–2 | 0.00% |
| Ki_RoosterKill vs Clive | 0–2 | 0.00% |
| Ki_RoosterKill vs Paul | 0–1 | 0.00% |
| Ki_RoosterKill vs Steve | 1–0 | 100.00% |
| Ki_RoosterKill vs Devil Jin | 0–1 | 0.00% |
| Ki_RoosterKill vs Lars | 0–1 | 0.00% |
| Ki_RoosterKill vs Leroy | 0–1 | 0.00% |
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.