| Sencha_MB vs Reina | 32–30 | 51.61% |
| Sencha_MB vs Jin | 25–35 | 41.67% |
| Sencha_MB vs Kazuya | 20–24 | 45.45% |
| Sencha_MB vs King | 23–16 | 58.97% |
| Sencha_MB vs Dragunov | 16–14 | 53.33% |
| Sencha_MB vs Bryan | 14–11 | 56.00% |
| Sencha_MB vs Steve | 12–12 | 50.00% |
| Sencha_MB vs Jun | 9–13 | 40.91% |
| Sencha_MB vs Lili | 8–13 | 38.10% |
| Sencha_MB vs Eddy | 6–15 | 28.57% |
| Sencha_MB vs Paul | 9–11 | 45.00% |
| Sencha_MB vs Lars | 11–8 | 57.89% |
| Sencha_MB vs Victor | 8–9 | 47.06% |
| Sencha_MB vs Asuka | 7–9 | 43.75% |
| Sencha_MB vs Devil Jin | 8–8 | 50.00% |
| Sencha_MB vs Law | 7–8 | 46.67% |
| Sencha_MB vs Hwoarang | 6–9 | 40.00% |
| Sencha_MB vs Lee | 9–6 | 60.00% |
| Sencha_MB vs Alisa | 5–7 | 41.67% |
| Sencha_MB vs Azucena | 5–7 | 41.67% |
| Sencha_MB vs Yoshimitsu | 9–2 | 81.82% |
| Sencha_MB vs Xiaoyu | 5–6 | 45.45% |
| Sencha_MB vs Leroy | 5–4 | 55.56% |
| Sencha_MB vs Leo | 1–7 | 12.50% |
| Sencha_MB vs Nina | 6–2 | 75.00% |
| Sencha_MB vs Feng | 3–5 | 37.50% |
| Sencha_MB vs Shaheen | 1–6 | 14.29% |
| Sencha_MB vs Lidia | 1–6 | 14.29% |
| Sencha_MB vs Panda | 2–4 | 33.33% |
| Sencha_MB vs Jack-8 | 2–3 | 40.00% |
| Sencha_MB vs Kuma | 4–1 | 80.00% |
| Sencha_MB vs Heihachi | 1–4 | 20.00% |
| Sencha_MB vs Zafina | 0–4 | 0.00% |
| Sencha_MB vs Claudio | 0–4 | 0.00% |
| Sencha_MB vs Raven | 2–1 | 66.67% |
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.