| KayCorleone vs Armor King | 66–54 | 55.00% |
| KayCorleone vs Kazuya | 62–49 | 55.86% |
| KayCorleone vs Jin | 47–47 | 50.00% |
| KayCorleone vs Hwoarang | 38–45 | 45.78% |
| KayCorleone vs Bryan | 41–37 | 52.56% |
| KayCorleone vs Steve | 45–28 | 61.64% |
| KayCorleone vs Yoshimitsu | 36–31 | 53.73% |
| KayCorleone vs Heihachi | 27–33 | 45.00% |
| KayCorleone vs King | 31–26 | 54.39% |
| KayCorleone vs Paul | 26–23 | 53.06% |
| KayCorleone vs Lars | 30–19 | 61.22% |
| KayCorleone vs Dragunov | 26–21 | 55.32% |
| KayCorleone vs Law | 24–22 | 52.17% |
| KayCorleone vs Fahkumram | 22–24 | 47.83% |
| KayCorleone vs Reina | 19–26 | 42.22% |
| KayCorleone vs Devil Jin | 17–26 | 39.53% |
| KayCorleone vs Lili | 21–19 | 52.50% |
| KayCorleone vs Lee | 12–23 | 34.29% |
| KayCorleone vs Miary Zo | 17–17 | 50.00% |
| KayCorleone vs Xiaoyu | 11–20 | 35.48% |
| KayCorleone vs Nina | 17–12 | 58.62% |
| KayCorleone vs Asuka | 12–12 | 50.00% |
| KayCorleone vs Alisa | 14–7 | 66.67% |
| KayCorleone vs Jun | 8–13 | 38.10% |
| KayCorleone vs Eddy | 11–10 | 52.38% |
| KayCorleone vs Claudio | 7–13 | 35.00% |
| KayCorleone vs Anna | 10–10 | 50.00% |
| KayCorleone vs Feng | 4–13 | 23.53% |
| KayCorleone vs Victor | 8–8 | 50.00% |
| KayCorleone vs Leo | 8–7 | 53.33% |
| KayCorleone vs Leroy | 3–12 | 20.00% |
| KayCorleone vs Kuma | 7–7 | 50.00% |
| KayCorleone vs Zafina | 7–5 | 58.33% |
| KayCorleone vs Azucena | 5–6 | 45.45% |
| KayCorleone vs Clive | 4–5 | 44.44% |
| KayCorleone vs Lidia | 5–2 | 71.43% |
| KayCorleone vs Jack-8 | 2–2 | 50.00% |
| KayCorleone vs Shaheen | 3–1 | 75.00% |
| KayCorleone vs Panda | 0–3 | 0.00% |
| KayCorleone vs Raven | 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.