| Keena vs King | 70–59 | 54.26% |
| Keena vs Reina | 76–50 | 60.32% |
| Keena vs Jin | 54–50 | 51.92% |
| Keena vs Steve | 57–46 | 55.34% |
| Keena vs Kazuya | 64–37 | 63.37% |
| Keena vs Law | 49–42 | 53.85% |
| Keena vs Clive | 45–44 | 50.56% |
| Keena vs Lidia | 52–35 | 59.77% |
| Keena vs Heihachi | 48–37 | 56.47% |
| Keena vs Hwoarang | 34–46 | 42.50% |
| Keena vs Bryan | 48–32 | 60.00% |
| Keena vs Dragunov | 41–28 | 59.42% |
| Keena vs Yoshimitsu | 34–33 | 50.75% |
| Keena vs Eddy | 18–46 | 28.12% |
| Keena vs Lili | 31–31 | 50.00% |
| Keena vs Jun | 23–38 | 37.70% |
| Keena vs Azucena | 35–25 | 58.33% |
| Keena vs Nina | 22–37 | 37.29% |
| Keena vs Lee | 27–26 | 50.94% |
| Keena vs Paul | 24–26 | 48.00% |
| Keena vs Lars | 20–30 | 40.00% |
| Keena vs Asuka | 19–28 | 40.43% |
| Keena vs Devil Jin | 25–20 | 55.56% |
| Keena vs Victor | 21–22 | 48.84% |
| Keena vs Feng | 18–18 | 50.00% |
| Keena vs Jack-8 | 23–12 | 65.71% |
| Keena vs Alisa | 17–13 | 56.67% |
| Keena vs Leo | 15–13 | 53.57% |
| Keena vs Raven | 13–10 | 56.52% |
| Keena vs Anna | 15–8 | 65.22% |
| Keena vs Kuma | 10–12 | 45.45% |
| Keena vs Shaheen | 10–10 | 50.00% |
| Keena vs Xiaoyu | 7–12 | 36.84% |
| Keena vs Zafina | 11–8 | 57.89% |
| Keena vs Leroy | 8–11 | 42.11% |
| Keena vs Claudio | 4–11 | 26.67% |
| Keena vs Fahkumram | 8–2 | 80.00% |
| Keena vs Panda | 0–4 | 0.00% |
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.