| keito vs Dragunov | 11–27 | 28.95% |
| keito vs Asuka | 13–24 | 35.14% |
| keito vs King | 8–25 | 24.24% |
| keito vs Steve | 13–19 | 40.62% |
| keito vs Jin | 10–19 | 34.48% |
| keito vs Xiaoyu | 15–9 | 62.50% |
| keito vs Armor King | 5–19 | 20.83% |
| keito vs Kazuya | 10–13 | 43.48% |
| keito vs Bryan | 11–11 | 50.00% |
| keito vs Paul | 4–17 | 19.05% |
| keito vs Victor | 7–14 | 33.33% |
| keito vs Lars | 9–11 | 45.00% |
| keito vs Fahkumram | 2–16 | 11.11% |
| keito vs Yoshimitsu | 6–11 | 35.29% |
| keito vs Lili | 9–6 | 60.00% |
| keito vs Hwoarang | 2–12 | 14.29% |
| keito vs Azucena | 4–10 | 28.57% |
| keito vs Miary Zo | 5–9 | 35.71% |
| keito vs Leo | 2–11 | 15.38% |
| keito vs Reina | 6–7 | 46.15% |
| keito vs Eddy | 9–4 | 69.23% |
| keito vs Alisa | 3–9 | 25.00% |
| keito vs Lidia | 6–6 | 50.00% |
| keito vs Heihachi | 5–7 | 41.67% |
| keito vs Law | 5–5 | 50.00% |
| keito vs Shaheen | 4–6 | 40.00% |
| keito vs Jun | 4–6 | 40.00% |
| keito vs Lee | 2–7 | 22.22% |
| keito vs Jack-8 | 6–1 | 85.71% |
| keito vs Kuma | 4–3 | 57.14% |
| keito vs Claudio | 1–5 | 16.67% |
| keito vs Zafina | 4–2 | 66.67% |
| keito vs Clive | 1–5 | 16.67% |
| keito vs Devil Jin | 3–2 | 60.00% |
| keito vs Panda | 1–4 | 20.00% |
| keito vs Nina | 2–2 | 50.00% |
| keito vs Leroy | 2–2 | 50.00% |
| keito vs Feng | 0–1 | 0.00% |
| keito vs Raven | 1–0 | 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.