| _klead_ vs Hwoarang | 111–93 | 54.41% |
| _klead_ vs Jin | 96–73 | 56.80% |
| _klead_ vs Bryan | 77–91 | 45.83% |
| _klead_ vs Law | 74–82 | 47.44% |
| _klead_ vs King | 84–70 | 54.55% |
| _klead_ vs Dragunov | 83–47 | 63.85% |
| _klead_ vs Kazuya | 67–61 | 52.34% |
| _klead_ vs Lili | 72–50 | 59.02% |
| _klead_ vs Reina | 61–60 | 50.41% |
| _klead_ vs Steve | 57–51 | 52.78% |
| _klead_ vs Jun | 51–52 | 49.51% |
| _klead_ vs Paul | 45–52 | 46.39% |
| _klead_ vs Yoshimitsu | 37–53 | 41.11% |
| _klead_ vs Heihachi | 46–43 | 51.69% |
| _klead_ vs Nina | 41–34 | 54.67% |
| _klead_ vs Devil Jin | 28–43 | 39.44% |
| _klead_ vs Asuka | 42–28 | 60.00% |
| _klead_ vs Claudio | 32–35 | 47.76% |
| _klead_ vs Lars | 41–25 | 62.12% |
| _klead_ vs Victor | 35–31 | 53.03% |
| _klead_ vs Feng | 39–24 | 61.90% |
| _klead_ vs Clive | 21–42 | 33.33% |
| _klead_ vs Xiaoyu | 38–24 | 61.29% |
| _klead_ vs Lidia | 35–26 | 57.38% |
| _klead_ vs Lee | 27–32 | 45.76% |
| _klead_ vs Eddy | 28–25 | 52.83% |
| _klead_ vs Alisa | 25–26 | 49.02% |
| _klead_ vs Azucena | 31–18 | 63.27% |
| _klead_ vs Zafina | 30–17 | 63.83% |
| _klead_ vs Armor King | 24–21 | 53.33% |
| _klead_ vs Leo | 23–19 | 54.76% |
| _klead_ vs Raven | 22–20 | 52.38% |
| _klead_ vs Miary Zo | 13–29 | 30.95% |
| _klead_ vs Jack-8 | 20–21 | 48.78% |
| _klead_ vs Leroy | 22–19 | 53.66% |
| _klead_ vs Fahkumram | 19–21 | 47.50% |
| _klead_ vs Anna | 21–17 | 55.26% |
| _klead_ vs Shaheen | 19–18 | 51.35% |
| _klead_ vs Kuma | 16–14 | 53.33% |
| _klead_ vs Panda | 1–6 | 14.29% |
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.