| K4D3NN vs Clive | 21–19 | 52.50% |
| K4D3NN vs Jin | 19–19 | 50.00% |
| K4D3NN vs Reina | 18–19 | 48.65% |
| K4D3NN vs King | 18–16 | 52.94% |
| K4D3NN vs Kazuya | 18–16 | 52.94% |
| K4D3NN vs Eddy | 10–24 | 29.41% |
| K4D3NN vs Steve | 12–20 | 37.50% |
| K4D3NN vs Heihachi | 12–14 | 46.15% |
| K4D3NN vs Lili | 12–13 | 48.00% |
| K4D3NN vs Dragunov | 11–13 | 45.83% |
| K4D3NN vs Nina | 14–9 | 60.87% |
| K4D3NN vs Bryan | 6–15 | 28.57% |
| K4D3NN vs Yoshimitsu | 14–6 | 70.00% |
| K4D3NN vs Azucena | 10–10 | 50.00% |
| K4D3NN vs Law | 11–6 | 64.71% |
| K4D3NN vs Jun | 8–9 | 47.06% |
| K4D3NN vs Hwoarang | 8–8 | 50.00% |
| K4D3NN vs Lidia | 6–10 | 37.50% |
| K4D3NN vs Paul | 8–7 | 53.33% |
| K4D3NN vs Feng | 6–8 | 42.86% |
| K4D3NN vs Lars | 5–9 | 35.71% |
| K4D3NN vs Jack-8 | 6–7 | 46.15% |
| K4D3NN vs Devil Jin | 5–8 | 38.46% |
| K4D3NN vs Victor | 5–8 | 38.46% |
| K4D3NN vs Asuka | 4–8 | 33.33% |
| K4D3NN vs Fahkumram | 6–6 | 50.00% |
| K4D3NN vs Leroy | 9–2 | 81.82% |
| K4D3NN vs Leo | 6–4 | 60.00% |
| K4D3NN vs Alisa | 5–4 | 55.56% |
| K4D3NN vs Xiaoyu | 2–5 | 28.57% |
| K4D3NN vs Shaheen | 4–2 | 66.67% |
| K4D3NN vs Lee | 3–3 | 50.00% |
| K4D3NN vs Claudio | 3–1 | 75.00% |
| K4D3NN vs Zafina | 2–2 | 50.00% |
| K4D3NN vs Kuma | 0–3 | 0.00% |
| K4D3NN vs Panda | 2–1 | 66.67% |
| K4D3NN vs Raven | 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.