| Kilp vs King | 125–156 | 44.48% |
| Kilp vs Kazuya | 131–129 | 50.38% |
| Kilp vs Jin | 114–142 | 44.53% |
| Kilp vs Bryan | 110–127 | 46.41% |
| Kilp vs Reina | 122–114 | 51.69% |
| Kilp vs Hwoarang | 74–102 | 42.05% |
| Kilp vs Law | 81–89 | 47.65% |
| Kilp vs Dragunov | 82–78 | 51.25% |
| Kilp vs Steve | 95–62 | 60.51% |
| Kilp vs Heihachi | 81–70 | 53.64% |
| Kilp vs Yoshimitsu | 69–76 | 47.59% |
| Kilp vs Asuka | 54–78 | 40.91% |
| Kilp vs Lee | 62–70 | 46.97% |
| Kilp vs Lili | 58–70 | 45.31% |
| Kilp vs Xiaoyu | 47–63 | 42.73% |
| Kilp vs Azucena | 77–26 | 74.76% |
| Kilp vs Eddy | 38–62 | 38.00% |
| Kilp vs Nina | 33–57 | 36.67% |
| Kilp vs Lars | 34–52 | 39.53% |
| Kilp vs Devil Jin | 38–43 | 46.91% |
| Kilp vs Jun | 37–43 | 46.25% |
| Kilp vs Paul | 37–41 | 47.44% |
| Kilp vs Alisa | 29–46 | 38.67% |
| Kilp vs Lidia | 34–41 | 45.33% |
| Kilp vs Feng | 34–38 | 47.22% |
| Kilp vs Victor | 37–31 | 54.41% |
| Kilp vs Raven | 24–38 | 38.71% |
| Kilp vs Leroy | 32–29 | 52.46% |
| Kilp vs Jack-8 | 25–32 | 43.86% |
| Kilp vs Leo | 24–33 | 42.11% |
| Kilp vs Claudio | 17–34–1 | 33.33% |
| Kilp vs Clive | 27–25 | 51.92% |
| Kilp vs Kuma | 22–29 | 43.14% |
| Kilp vs Shaheen | 26–19 | 57.78% |
| Kilp vs Zafina | 11–27 | 28.95% |
| Kilp vs Fahkumram | 9–29 | 23.68% |
| Kilp vs Panda | 12–19 | 38.71% |
| Kilp vs Anna | 12–9 | 57.14% |
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.