| K.ndy vs Armor King | 17–22 | 43.59% |
| K.ndy vs Lili | 16–16 | 50.00% |
| K.ndy vs King | 14–17 | 45.16% |
| K.ndy vs Paul | 16–12 | 57.14% |
| K.ndy vs Jin | 6–16 | 27.27% |
| K.ndy vs Steve | 11–11 | 50.00% |
| K.ndy vs Reina | 11–11 | 50.00% |
| K.ndy vs Dragunov | 16–5 | 76.19% |
| K.ndy vs Law | 9–11 | 45.00% |
| K.ndy vs Bryan | 9–11 | 45.00% |
| K.ndy vs Eddy | 8–9 | 47.06% |
| K.ndy vs Lidia | 7–10 | 41.18% |
| K.ndy vs Alisa | 4–11 | 26.67% |
| K.ndy vs Claudio | 8–7 | 53.33% |
| K.ndy vs Kazuya | 10–4 | 71.43% |
| K.ndy vs Asuka | 5–8 | 38.46% |
| K.ndy vs Lee | 5–6 | 45.45% |
| K.ndy vs Victor | 2–8 | 20.00% |
| K.ndy vs Jack-8 | 3–6 | 33.33% |
| K.ndy vs Anna | 4–5 | 44.44% |
| K.ndy vs Lars | 4–4 | 50.00% |
| K.ndy vs Nina | 7–1 | 87.50% |
| K.ndy vs Leroy | 1–7 | 12.50% |
| K.ndy vs Hwoarang | 4–3 | 57.14% |
| K.ndy vs Heihachi | 1–6 | 14.29% |
| K.ndy vs Clive | 3–4 | 42.86% |
| K.ndy vs Yoshimitsu | 6–0 | 100.00% |
| K.ndy vs Xiaoyu | 4–2 | 66.67% |
| K.ndy vs Devil Jin | 2–3 | 40.00% |
| K.ndy vs Miary Zo | 1–4 | 20.00% |
| K.ndy vs Panda | 2–2 | 50.00% |
| K.ndy vs Jun | 2–2 | 50.00% |
| K.ndy vs Azucena | 4–0 | 100.00% |
| K.ndy vs Feng | 1–2 | 33.33% |
| K.ndy vs Leo | 2–0 | 100.00% |
| K.ndy vs Zafina | 2–0 | 100.00% |
| K.ndy vs Raven | 1–1 | 50.00% |
| K.ndy vs Fahkumram | 2–0 | 100.00% |
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.