| MokujinSama vs Jin | 25–17 | 59.52% |
| MokujinSama vs Kazuya | 18–12 | 60.00% |
| MokujinSama vs Heihachi | 20–6 | 76.92% |
| MokujinSama vs Hwoarang | 15–9 | 62.50% |
| MokujinSama vs Paul | 12–11 | 52.17% |
| MokujinSama vs Bryan | 14–8 | 63.64% |
| MokujinSama vs Lili | 15–4 | 78.95% |
| MokujinSama vs Nina | 13–6 | 68.42% |
| MokujinSama vs King | 9–8 | 52.94% |
| MokujinSama vs Yoshimitsu | 9–8 | 52.94% |
| MokujinSama vs Azucena | 9–8 | 52.94% |
| MokujinSama vs Law | 6–9 | 40.00% |
| MokujinSama vs Jack-8 | 6–9 | 40.00% |
| MokujinSama vs Steve | 8–4 | 66.67% |
| MokujinSama vs Lars | 5–7 | 41.67% |
| MokujinSama vs Jun | 12–0 | 100.00% |
| MokujinSama vs Reina | 6–6 | 50.00% |
| MokujinSama vs Lidia | 7–4 | 63.64% |
| MokujinSama vs Victor | 5–4 | 55.56% |
| MokujinSama vs Dragunov | 7–1 | 87.50% |
| MokujinSama vs Alisa | 6–1 | 85.71% |
| MokujinSama vs Claudio | 4–3 | 57.14% |
| MokujinSama vs Lee | 5–2 | 71.43% |
| MokujinSama vs Eddy | 5–0 | 100.00% |
| MokujinSama vs Xiaoyu | 1–3 | 25.00% |
| MokujinSama vs Feng | 3–1 | 75.00% |
| MokujinSama vs Shaheen | 3–1 | 75.00% |
| MokujinSama vs Asuka | 1–2 | 33.33% |
| MokujinSama vs Leo | 2–1 | 66.67% |
| MokujinSama vs Panda | 0–2 | 0.00% |
| MokujinSama vs Zafina | 1–1 | 50.00% |
| MokujinSama vs Leroy | 1–1 | 50.00% |
| MokujinSama vs Clive | 0–1 | 0.00% |
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.