| Kill4Kenny vs King | 67–81 | 45.27% |
| Kill4Kenny vs Reina | 75–69 | 52.08% |
| Kill4Kenny vs Kazuya | 48–69 | 41.03% |
| Kill4Kenny vs Jin | 55–60 | 47.83% |
| Kill4Kenny vs Hwoarang | 44–66 | 40.00% |
| Kill4Kenny vs Law | 37–58 | 38.95% |
| Kill4Kenny vs Steve | 43–45 | 48.86% |
| Kill4Kenny vs Bryan | 36–46 | 43.90% |
| Kill4Kenny vs Jun | 27–38 | 41.54% |
| Kill4Kenny vs Azucena | 36–29 | 55.38% |
| Kill4Kenny vs Lili | 28–33 | 45.90% |
| Kill4Kenny vs Heihachi | 32–29 | 52.46% |
| Kill4Kenny vs Nina | 25–35 | 41.67% |
| Kill4Kenny vs Paul | 29–30 | 49.15% |
| Kill4Kenny vs Dragunov | 23–31 | 42.59% |
| Kill4Kenny vs Victor | 24–29 | 45.28% |
| Kill4Kenny vs Clive | 25–27 | 48.08% |
| Kill4Kenny vs Lee | 23–28 | 45.10% |
| Kill4Kenny vs Yoshimitsu | 18–32 | 36.00% |
| Kill4Kenny vs Xiaoyu | 25–24 | 51.02% |
| Kill4Kenny vs Lars | 26–22 | 54.17% |
| Kill4Kenny vs Eddy | 26–22 | 54.17% |
| Kill4Kenny vs Asuka | 18–29 | 38.30% |
| Kill4Kenny vs Alisa | 19–27 | 41.30% |
| Kill4Kenny vs Jack-8 | 26–19 | 57.78% |
| Kill4Kenny vs Lidia | 24–20 | 54.55% |
| Kill4Kenny vs Leo | 21–20 | 51.22% |
| Kill4Kenny vs Feng | 9–23 | 28.12% |
| Kill4Kenny vs Claudio | 10–18 | 35.71% |
| Kill4Kenny vs Kuma | 14–14 | 50.00% |
| Kill4Kenny vs Leroy | 10–16 | 38.46% |
| Kill4Kenny vs Devil Jin | 13–12 | 52.00% |
| Kill4Kenny vs Raven | 10–15 | 40.00% |
| Kill4Kenny vs Shaheen | 10–8 | 55.56% |
| Kill4Kenny vs Panda | 4–11 | 26.67% |
| Kill4Kenny vs Anna | 5–9 | 35.71% |
| Kill4Kenny vs Zafina | 1–9 | 10.00% |
| Kill4Kenny vs Fahkumram | 4–4 | 50.00% |
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.