| Kefe vs Bryan | 110–62 | 63.95% |
| Kefe vs Kazuya | 77–62 | 55.40% |
| Kefe vs Hwoarang | 64–43 | 59.81% |
| Kefe vs Jin | 51–52 | 49.51% |
| Kefe vs King | 56–44 | 56.00% |
| Kefe vs Steve | 60–32 | 65.22% |
| Kefe vs Reina | 51–31 | 62.20% |
| Kefe vs Heihachi | 40–41 | 49.38% |
| Kefe vs Lee | 38–29 | 56.72% |
| Kefe vs Dragunov | 43–23 | 65.15% |
| Kefe vs Lili | 31–27 | 53.45% |
| Kefe vs Law | 30–27 | 52.63% |
| Kefe vs Paul | 24–30 | 44.44% |
| Kefe vs Yoshimitsu | 20–27 | 42.55% |
| Kefe vs Clive | 20–26 | 43.48% |
| Kefe vs Devil Jin | 22–21 | 51.16% |
| Kefe vs Lars | 18–25 | 41.86% |
| Kefe vs Jun | 24–19 | 55.81% |
| Kefe vs Asuka | 22–18 | 55.00% |
| Kefe vs Jack-8 | 13–21 | 38.24% |
| Kefe vs Nina | 17–15 | 53.12% |
| Kefe vs Azucena | 16–15 | 51.61% |
| Kefe vs Claudio | 15–13 | 53.57% |
| Kefe vs Shaheen | 17–11 | 60.71% |
| Kefe vs Zafina | 13–13 | 50.00% |
| Kefe vs Leroy | 13–13 | 50.00% |
| Kefe vs Victor | 13–13 | 50.00% |
| Kefe vs Raven | 18–8 | 69.23% |
| Kefe vs Feng | 11–10 | 52.38% |
| Kefe vs Kuma | 7–14 | 33.33% |
| Kefe vs Eddy | 9–12 | 42.86% |
| Kefe vs Lidia | 5–12 | 29.41% |
| Kefe vs Alisa | 6–7 | 46.15% |
| Kefe vs Xiaoyu | 4–6 | 40.00% |
| Kefe vs Leo | 4–3 | 57.14% |
| Kefe vs Fahkumram | 6–1 | 85.71% |
| Kefe vs Panda | 0–3 | 0.00% |
| Kefe vs Anna | 2–0 | 100.00% |
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.