| MomoMon vs Kazuya | 92–114 | 44.66% |
| MomoMon vs Jin | 93–92 | 50.27% |
| MomoMon vs King | 72–94 | 43.37% |
| MomoMon vs Reina | 72–85 | 45.86% |
| MomoMon vs Hwoarang | 45–68 | 39.82% |
| MomoMon vs Bryan | 49–51 | 49.00% |
| MomoMon vs Steve | 39–61 | 39.00% |
| MomoMon vs Lars | 50–50 | 50.00% |
| MomoMon vs Clive | 42–48 | 46.67% |
| MomoMon vs Law | 25–61 | 29.07% |
| MomoMon vs Eddy | 33–49 | 40.24% |
| MomoMon vs Yoshimitsu | 40–39 | 50.63% |
| MomoMon vs Dragunov | 33–46 | 41.77% |
| MomoMon vs Azucena | 30–48 | 38.46% |
| MomoMon vs Lee | 35–42 | 45.45% |
| MomoMon vs Lili | 33–37 | 47.14% |
| MomoMon vs Paul | 26–39 | 40.00% |
| MomoMon vs Jun | 25–34 | 42.37% |
| MomoMon vs Victor | 31–28 | 52.54% |
| MomoMon vs Xiaoyu | 24–34 | 41.38% |
| MomoMon vs Asuka | 21–35 | 37.50% |
| MomoMon vs Leo | 25–31 | 44.64% |
| MomoMon vs Alisa | 15–37 | 28.85% |
| MomoMon vs Devil Jin | 16–31 | 34.04% |
| MomoMon vs Heihachi | 18–28 | 39.13% |
| MomoMon vs Feng | 21–24 | 46.67% |
| MomoMon vs Nina | 18–21 | 46.15% |
| MomoMon vs Leroy | 13–23 | 36.11% |
| MomoMon vs Raven | 13–19 | 40.62% |
| MomoMon vs Claudio | 13–13 | 50.00% |
| MomoMon vs Shaheen | 6–17 | 26.09% |
| MomoMon vs Lidia | 10–11 | 47.62% |
| MomoMon vs Kuma | 5–15 | 25.00% |
| MomoMon vs Zafina | 9–10 | 47.37% |
| MomoMon vs Jack-8 | 6–9 | 40.00% |
| MomoMon vs Panda | 0–7 | 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.