| Keane vs Kazuya | 66–68 | 49.25% |
| Keane vs King | 56–69 | 44.80% |
| Keane vs Bryan | 53–68 | 43.80% |
| Keane vs Jin | 64–54 | 54.24% |
| Keane vs Reina | 45–34 | 56.96% |
| Keane vs Paul | 18–58 | 23.68% |
| Keane vs Steve | 36–36 | 50.00% |
| Keane vs Lee | 25–36 | 40.98% |
| Keane vs Lili | 32–26 | 55.17% |
| Keane vs Hwoarang | 15–40 | 27.27% |
| Keane vs Asuka | 21–32 | 39.62% |
| Keane vs Dragunov | 21–29 | 42.00% |
| Keane vs Law | 18–24 | 42.86% |
| Keane vs Azucena | 22–19 | 53.66% |
| Keane vs Victor | 16–25 | 39.02% |
| Keane vs Jun | 15–23 | 39.47% |
| Keane vs Nina | 16–21 | 43.24% |
| Keane vs Devil Jin | 18–18 | 50.00% |
| Keane vs Yoshimitsu | 10–24 | 29.41% |
| Keane vs Kuma | 18–16 | 52.94% |
| Keane vs Lars | 14–19 | 42.42% |
| Keane vs Eddy | 14–18 | 43.75% |
| Keane vs Feng | 16–15 | 51.61% |
| Keane vs Alisa | 13–17 | 43.33% |
| Keane vs Leroy | 10–20 | 33.33% |
| Keane vs Leo | 10–19 | 34.48% |
| Keane vs Jack-8 | 10–16 | 38.46% |
| Keane vs Lidia | 11–15 | 42.31% |
| Keane vs Xiaoyu | 9–16 | 36.00% |
| Keane vs Raven | 11–13 | 45.83% |
| Keane vs Heihachi | 9–13 | 40.91% |
| Keane vs Anna | 10–9 | 52.63% |
| Keane vs Panda | 9–9 | 50.00% |
| Keane vs Shaheen | 11–6 | 64.71% |
| Keane vs Claudio | 2–7 | 22.22% |
| Keane vs Zafina | 2–6 | 25.00% |
| Keane vs Clive | 2–4 | 33.33% |
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.