| Keneki_mx vs Clive | 9–7 | 56.25% |
| Keneki_mx vs King | 5–6 | 45.45% |
| Keneki_mx vs Hwoarang | 7–4 | 63.64% |
| Keneki_mx vs Jin | 6–3 | 66.67% |
| Keneki_mx vs Reina | 6–3 | 66.67% |
| Keneki_mx vs Law | 6–2 | 75.00% |
| Keneki_mx vs Kazuya | 6–1 | 85.71% |
| Keneki_mx vs Jun | 2–5 | 28.57% |
| Keneki_mx vs Eddy | 2–5 | 28.57% |
| Keneki_mx vs Lidia | 5–2 | 71.43% |
| Keneki_mx vs Lili | 4–2 | 66.67% |
| Keneki_mx vs Azucena | 4–2 | 66.67% |
| Keneki_mx vs Devil Jin | 3–2 | 60.00% |
| Keneki_mx vs Feng | 2–3 | 40.00% |
| Keneki_mx vs Raven | 3–2 | 60.00% |
| Keneki_mx vs Bryan | 2–2 | 50.00% |
| Keneki_mx vs Dragunov | 2–2 | 50.00% |
| Keneki_mx vs Paul | 1–2 | 33.33% |
| Keneki_mx vs Leo | 2–1 | 66.67% |
| Keneki_mx vs Victor | 2–1 | 66.67% |
| Keneki_mx vs Heihachi | 2–1 | 66.67% |
| Keneki_mx vs Anna | 1–2 | 33.33% |
| Keneki_mx vs Armor King | 2–1 | 66.67% |
| Keneki_mx vs Steve | 1–1 | 50.00% |
| Keneki_mx vs Asuka | 2–0 | 100.00% |
| Keneki_mx vs Kuma | 2–0 | 100.00% |
| Keneki_mx vs Zafina | 2–0 | 100.00% |
| Keneki_mx vs Leroy | 0–2 | 0.00% |
| Keneki_mx vs Xiaoyu | 1–0 | 100.00% |
| Keneki_mx vs Lars | 0–1 | 0.00% |
| Keneki_mx vs Alisa | 1–0 | 100.00% |
| Keneki_mx vs Claudio | 1–0 | 100.00% |
| Keneki_mx vs Shaheen | 1–0 | 100.00% |
| Keneki_mx vs Panda | 1–0 | 100.00% |
| Keneki_mx vs Miary Zo | 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.