| Kenchan vs King | 120–103 | 53.81% |
| Kenchan vs Kazuya | 94–89 | 51.37% |
| Kenchan vs Reina | 84–90 | 48.28% |
| Kenchan vs Jin | 81–85 | 48.80% |
| Kenchan vs Bryan | 62–91 | 40.52% |
| Kenchan vs Hwoarang | 83–48 | 63.36% |
| Kenchan vs Steve | 56–65 | 46.28% |
| Kenchan vs Law | 58–49 | 54.21% |
| Kenchan vs Dragunov | 46–55 | 45.54% |
| Kenchan vs Yoshimitsu | 41–58 | 41.41% |
| Kenchan vs Paul | 35–54 | 39.33% |
| Kenchan vs Lars | 39–49 | 44.32% |
| Kenchan vs Lee | 45–43 | 51.14% |
| Kenchan vs Jun | 33–50 | 39.76% |
| Kenchan vs Eddy | 32–48 | 40.00% |
| Kenchan vs Azucena | 35–44 | 44.30% |
| Kenchan vs Asuka | 36–40 | 47.37% |
| Kenchan vs Lili | 36–40 | 47.37% |
| Kenchan vs Nina | 37–35 | 51.39% |
| Kenchan vs Devil Jin | 34–31–1 | 52.31% |
| Kenchan vs Xiaoyu | 29–35 | 45.31% |
| Kenchan vs Victor | 30–33 | 47.62% |
| Kenchan vs Leo | 19–38 | 33.33% |
| Kenchan vs Heihachi | 31–25 | 55.36% |
| Kenchan vs Alisa | 27–27 | 50.00% |
| Kenchan vs Lidia | 13–37 | 26.00% |
| Kenchan vs Claudio | 22–25 | 46.81% |
| Kenchan vs Feng | 21–21 | 50.00% |
| Kenchan vs Jack-8 | 20–20 | 50.00% |
| Kenchan vs Clive | 15–22 | 40.54% |
| Kenchan vs Zafina | 13–23 | 36.11% |
| Kenchan vs Raven | 19–17 | 52.78% |
| Kenchan vs Leroy | 15–19 | 44.12% |
| Kenchan vs Anna | 12–21–1 | 36.36% |
| Kenchan vs Shaheen | 13–10 | 56.52% |
| Kenchan vs Kuma | 10–13 | 43.48% |
| Kenchan vs Fahkumram | 7–15 | 31.82% |
| Kenchan vs Armor King | 5–17 | 22.73% |
| Kenchan vs Miary Zo | 6–10 | 37.50% |
| Kenchan vs Panda | 2–5 | 28.57% |
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.