| Keoma300 vs King | 53–53 | 50.00% |
| Keoma300 vs Jin | 46–53 | 46.46% |
| Keoma300 vs Kazuya | 38–43 | 46.91% |
| Keoma300 vs Hwoarang | 40–37 | 51.95% |
| Keoma300 vs Steve | 29–35 | 45.31% |
| Keoma300 vs Law | 23–36 | 38.98% |
| Keoma300 vs Dragunov | 23–29 | 44.23% |
| Keoma300 vs Bryan | 22–27 | 44.90% |
| Keoma300 vs Devil Jin | 24–23 | 51.06% |
| Keoma300 vs Heihachi | 19–22 | 46.34% |
| Keoma300 vs Lili | 21–18 | 53.85% |
| Keoma300 vs Eddy | 8–30 | 21.05% |
| Keoma300 vs Yoshimitsu | 13–24 | 35.14% |
| Keoma300 vs Reina | 23–14 | 62.16% |
| Keoma300 vs Azucena | 17–19 | 47.22% |
| Keoma300 vs Lars | 11–14 | 44.00% |
| Keoma300 vs Lee | 12–12 | 50.00% |
| Keoma300 vs Clive | 11–13 | 45.83% |
| Keoma300 vs Lidia | 14–9 | 60.87% |
| Keoma300 vs Asuka | 9–13 | 40.91% |
| Keoma300 vs Feng | 6–15 | 28.57% |
| Keoma300 vs Armor King | 11–10 | 52.38% |
| Keoma300 vs Claudio | 9–11 | 45.00% |
| Keoma300 vs Nina | 5–14 | 26.32% |
| Keoma300 vs Xiaoyu | 12–6 | 66.67% |
| Keoma300 vs Victor | 9–9 | 50.00% |
| Keoma300 vs Paul | 9–7 | 56.25% |
| Keoma300 vs Jack-8 | 3–12 | 20.00% |
| Keoma300 vs Leo | 8–7 | 53.33% |
| Keoma300 vs Jun | 6–9 | 40.00% |
| Keoma300 vs Anna | 4–8 | 33.33% |
| Keoma300 vs Alisa | 4–7 | 36.36% |
| Keoma300 vs Shaheen | 4–4 | 50.00% |
| Keoma300 vs Raven | 3–5 | 37.50% |
| Keoma300 vs Fahkumram | 4–2 | 66.67% |
| Keoma300 vs Miary Zo | 2–4 | 33.33% |
| Keoma300 vs Kuma | 1–2 | 33.33% |
| Keoma300 vs Zafina | 3–0 | 100.00% |
| Keoma300 vs Leroy | 0–3 | 0.00% |
| Keoma300 vs Panda | 1–1 | 50.00% |
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.