| Keporona vs King | 39–61 | 39.00% |
| Keporona vs Jin | 38–58 | 39.58% |
| Keporona vs Steve | 46–41 | 52.87% |
| Keporona vs Kazuya | 31–38 | 44.93% |
| Keporona vs Eddy | 40–20 | 66.67% |
| Keporona vs Law | 19–26 | 42.22% |
| Keporona vs Lili | 15–29 | 34.09% |
| Keporona vs Reina | 19–24 | 44.19% |
| Keporona vs Armor King | 14–28 | 33.33% |
| Keporona vs Asuka | 19–21 | 47.50% |
| Keporona vs Bryan | 18–20 | 47.37% |
| Keporona vs Hwoarang | 8–28 | 22.22% |
| Keporona vs Dragunov | 14–15 | 48.28% |
| Keporona vs Miary Zo | 10–16 | 38.46% |
| Keporona vs Nina | 12–11 | 52.17% |
| Keporona vs Jun | 9–13 | 40.91% |
| Keporona vs Azucena | 5–17 | 22.73% |
| Keporona vs Heihachi | 10–11–1 | 47.62% |
| Keporona vs Clive | 11–10 | 52.38% |
| Keporona vs Lee | 7–13 | 35.00% |
| Keporona vs Fahkumram | 12–7 | 63.16% |
| Keporona vs Zafina | 10–8 | 55.56% |
| Keporona vs Victor | 11–6 | 64.71% |
| Keporona vs Yoshimitsu | 6–10 | 37.50% |
| Keporona vs Devil Jin | 3–13 | 18.75% |
| Keporona vs Alisa | 9–7 | 56.25% |
| Keporona vs Lidia | 7–8 | 46.67% |
| Keporona vs Anna | 5–9 | 35.71% |
| Keporona vs Jack-8 | 8–5 | 61.54% |
| Keporona vs Lars | 3–10 | 23.08% |
| Keporona vs Leroy | 0–11 | 0.00% |
| Keporona vs Xiaoyu | 4–5 | 44.44% |
| Keporona vs Leo | 4–1 | 80.00% |
| Keporona vs Claudio | 3–2 | 60.00% |
| Keporona vs Paul | 2–2 | 50.00% |
| Keporona vs Feng | 3–1 | 75.00% |
| Keporona vs Kuma | 4–0 | 100.00% |
| Keporona vs Shaheen | 2–1 | 66.67% |
| Keporona vs Panda | 0–2 | 0.00% |
| Keporona vs Raven | 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.