| kyldyl vs King | 83–85 | 49.40% |
| kyldyl vs Jin | 70–87 | 44.59% |
| kyldyl vs Kazuya | 66–82 | 44.59% |
| kyldyl vs Steve | 71–66 | 51.82% |
| kyldyl vs Hwoarang | 46–90 | 33.82% |
| kyldyl vs Bryan | 62–71 | 46.62% |
| kyldyl vs Law | 53–78 | 40.46% |
| kyldyl vs Reina | 71–60 | 54.20% |
| kyldyl vs Eddy | 45–69 | 39.47% |
| kyldyl vs Lili | 40–56 | 41.67% |
| kyldyl vs Heihachi | 34–62 | 35.42% |
| kyldyl vs Lidia | 44–50 | 46.81% |
| kyldyl vs Paul | 27–61 | 30.68% |
| kyldyl vs Azucena | 43–45 | 48.86% |
| kyldyl vs Yoshimitsu | 28–54 | 34.15% |
| kyldyl vs Jun | 40–37 | 51.95% |
| kyldyl vs Dragunov | 30–45 | 40.00% |
| kyldyl vs Lars | 34–36 | 48.57% |
| kyldyl vs Leroy | 26–39 | 40.00% |
| kyldyl vs Nina | 35–28 | 55.56% |
| kyldyl vs Lee | 32–31 | 50.79% |
| kyldyl vs Asuka | 29–33 | 46.77% |
| kyldyl vs Victor | 27–32 | 45.76% |
| kyldyl vs Xiaoyu | 20–32 | 38.46% |
| kyldyl vs Feng | 17–35 | 32.69% |
| kyldyl vs Leo | 28–24 | 53.85% |
| kyldyl vs Jack-8 | 17–31 | 35.42% |
| kyldyl vs Alisa | 19–23 | 45.24% |
| kyldyl vs Claudio | 24–18 | 57.14% |
| kyldyl vs Raven | 16–21 | 43.24% |
| kyldyl vs Shaheen | 12–14 | 46.15% |
| kyldyl vs Kuma | 9–17 | 34.62% |
| kyldyl vs Zafina | 13–12 | 52.00% |
| kyldyl vs Devil Jin | 7–16 | 30.43% |
| kyldyl vs Clive | 3–7 | 30.00% |
| kyldyl 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.