| M0j0J0j0 vs Jin | 61–41 | 59.80% |
| M0j0J0j0 vs King | 64–35 | 64.65% |
| M0j0J0j0 vs Kazuya | 55–43 | 56.12% |
| M0j0J0j0 vs Dragunov | 37–33 | 52.86% |
| M0j0J0j0 vs Reina | 34–22 | 60.71% |
| M0j0J0j0 vs Victor | 16–27 | 37.21% |
| M0j0J0j0 vs Paul | 20–21 | 48.78% |
| M0j0J0j0 vs Lili | 23–18 | 56.10% |
| M0j0J0j0 vs Law | 13–23 | 36.11% |
| M0j0J0j0 vs Hwoarang | 17–18 | 48.57% |
| M0j0J0j0 vs Bryan | 24–11 | 68.57% |
| M0j0J0j0 vs Eddy | 22–9 | 70.97% |
| M0j0J0j0 vs Steve | 14–13 | 51.85% |
| M0j0J0j0 vs Yoshimitsu | 16–9 | 64.00% |
| M0j0J0j0 vs Nina | 19–5 | 79.17% |
| M0j0J0j0 vs Asuka | 14–9 | 60.87% |
| M0j0J0j0 vs Jun | 16–7 | 69.57% |
| M0j0J0j0 vs Lars | 16–6 | 72.73% |
| M0j0J0j0 vs Devil Jin | 8–11 | 42.11% |
| M0j0J0j0 vs Alisa | 8–9 | 47.06% |
| M0j0J0j0 vs Lee | 6–9 | 40.00% |
| M0j0J0j0 vs Azucena | 7–6 | 53.85% |
| M0j0J0j0 vs Xiaoyu | 9–3 | 75.00% |
| M0j0J0j0 vs Kuma | 6–6 | 50.00% |
| M0j0J0j0 vs Jack-8 | 7–3 | 70.00% |
| M0j0J0j0 vs Feng | 6–2 | 75.00% |
| M0j0J0j0 vs Claudio | 3–4 | 42.86% |
| M0j0J0j0 vs Leroy | 3–3 | 50.00% |
| M0j0J0j0 vs Raven | 2–4 | 33.33% |
| M0j0J0j0 vs Anna | 3–2 | 60.00% |
| M0j0J0j0 vs Leo | 2–1 | 66.67% |
| M0j0J0j0 vs Zafina | 2–1 | 66.67% |
| M0j0J0j0 vs Lidia | 1–2 | 33.33% |
| M0j0J0j0 vs Panda | 2–0 | 100.00% |
| M0j0J0j0 vs Heihachi | 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.