| Keaman vs Jin | 35–17 | 67.31% |
| Keaman vs Bryan | 18–16 | 52.94% |
| Keaman vs Kazuya | 29–4 | 87.88% |
| Keaman vs Steve | 27–4 | 87.10% |
| Keaman vs Heihachi | 13–14 | 48.15% |
| Keaman vs King | 19–5 | 79.17% |
| Keaman vs Armor King | 12–10 | 54.55% |
| Keaman vs Devil Jin | 11–6 | 64.71% |
| Keaman vs Paul | 9–6 | 60.00% |
| Keaman vs Law | 11–3 | 78.57% |
| Keaman vs Dragunov | 7–5 | 58.33% |
| Keaman vs Lee | 8–4 | 66.67% |
| Keaman vs Yoshimitsu | 10–1 | 90.91% |
| Keaman vs Fahkumram | 6–4 | 60.00% |
| Keaman vs Miary Zo | 8–2 | 80.00% |
| Keaman vs Asuka | 6–3 | 66.67% |
| Keaman vs Lili | 5–4 | 55.56% |
| Keaman vs Reina | 6–3 | 66.67% |
| Keaman vs Hwoarang | 3–5 | 37.50% |
| Keaman vs Nina | 4–4 | 50.00% |
| Keaman vs Eddy | 7–1 | 87.50% |
| Keaman vs Azucena | 5–2 | 71.43% |
| Keaman vs Victor | 6–1 | 85.71% |
| Keaman vs Clive | 3–4 | 42.86% |
| Keaman vs Feng | 3–3 | 50.00% |
| Keaman vs Jun | 3–3 | 50.00% |
| Keaman vs Leroy | 1–4 | 20.00% |
| Keaman vs Raven | 4–1 | 80.00% |
| Keaman vs Xiaoyu | 3–1 | 75.00% |
| Keaman vs Lars | 1–3 | 25.00% |
| Keaman vs Anna | 3–1 | 75.00% |
| Keaman vs Lidia | 2–1 | 66.67% |
| Keaman vs Jack-8 | 1–1 | 50.00% |
| Keaman vs Claudio | 1–1 | 50.00% |
| Keaman vs Shaheen | 2–0 | 100.00% |
| Keaman vs Zafina | 1–1 | 50.00% |
| Keaman vs Leo | 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.