| MOKUJIN vs Kazuya | 219–212 | 50.81% |
| MOKUJIN vs Jin | 207–166 | 55.50% |
| MOKUJIN vs Bryan | 153–180 | 45.95% |
| MOKUJIN vs Hwoarang | 140–140 | 50.00% |
| MOKUJIN vs King | 142–116 | 55.04% |
| MOKUJIN vs Steve | 103–114 | 47.47% |
| MOKUJIN vs Yoshimitsu | 111–91 | 54.95% |
| MOKUJIN vs Reina | 103–93 | 52.55% |
| MOKUJIN vs Law | 89–96 | 48.11% |
| MOKUJIN vs Paul | 89–90 | 49.72% |
| MOKUJIN vs Lee | 83–92 | 47.43% |
| MOKUJIN vs Lili | 87–78 | 52.73% |
| MOKUJIN vs Devil Jin | 69–89 | 43.67% |
| MOKUJIN vs Dragunov | 78–77 | 50.32% |
| MOKUJIN vs Jun | 97–48 | 66.90% |
| MOKUJIN vs Heihachi | 53–82 | 39.26% |
| MOKUJIN vs Asuka | 63–66 | 48.84% |
| MOKUJIN vs Lars | 70–48 | 59.32% |
| MOKUJIN vs Victor | 55–57 | 49.11% |
| MOKUJIN vs Raven | 54–56 | 49.09% |
| MOKUJIN vs Nina | 69–38 | 64.49% |
| MOKUJIN vs Lidia | 56–50 | 52.83% |
| MOKUJIN vs Xiaoyu | 51–52 | 49.51% |
| MOKUJIN vs Alisa | 62–39 | 61.39% |
| MOKUJIN vs Jack-8 | 52–42 | 55.32% |
| MOKUJIN vs Feng | 36–55–1 | 39.56% |
| MOKUJIN vs Azucena | 37–55 | 40.22% |
| MOKUJIN vs Eddy | 43–38 | 53.09% |
| MOKUJIN vs Shaheen | 38–42 | 47.50% |
| MOKUJIN vs Leo | 50–29 | 63.29% |
| MOKUJIN vs Claudio | 34–37 | 47.89% |
| MOKUJIN vs Clive | 37–34 | 52.11% |
| MOKUJIN vs Zafina | 31–34 | 47.69% |
| MOKUJIN vs Armor King | 29–26 | 52.73% |
| MOKUJIN vs Kuma | 25–26 | 49.02% |
| MOKUJIN vs Leroy | 18–26 | 40.91% |
| MOKUJIN vs Miary Zo | 10–12 | 45.45% |
| MOKUJIN vs Anna | 7–9 | 43.75% |
| MOKUJIN vs Panda | 7–7 | 50.00% |
| MOKUJIN vs Fahkumram | 11–2 | 84.62% |
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.