| momocat vs Jin | 173–142 | 54.92% |
| momocat vs Kazuya | 154–116 | 57.04% |
| momocat vs Bryan | 145–121 | 54.51% |
| momocat vs Dragunov | 121–121 | 50.00% |
| momocat vs Hwoarang | 101–112 | 47.42% |
| momocat vs King | 100–96 | 51.02% |
| momocat vs Heihachi | 94–85 | 52.51% |
| momocat vs Reina | 85–82 | 50.90% |
| momocat vs Lili | 79–87 | 47.59% |
| momocat vs Devil Jin | 81–68 | 54.36% |
| momocat vs Clive | 69–77 | 47.26% |
| momocat vs Steve | 77–67 | 53.47% |
| momocat vs Yoshimitsu | 75–66 | 53.19% |
| momocat vs Law | 74–54 | 57.81% |
| momocat vs Asuka | 68–59 | 53.54% |
| momocat vs Jun | 50–65 | 43.48% |
| momocat vs Victor | 54–55 | 49.54% |
| momocat vs Paul | 54–52 | 50.94% |
| momocat vs Lee | 55–50 | 52.38% |
| momocat vs Fahkumram | 35–67 | 34.31% |
| momocat vs Lars | 47–49 | 48.96% |
| momocat vs Xiaoyu | 42–46 | 47.73% |
| momocat vs Nina | 39–43 | 47.56% |
| momocat vs Jack-8 | 41–38 | 51.90% |
| momocat vs Feng | 33–41 | 44.59% |
| momocat vs Armor King | 36–37 | 49.32% |
| momocat vs Azucena | 33–39 | 45.83% |
| momocat vs Alisa | 36–35 | 50.70% |
| momocat vs Anna | 32–38 | 45.71% |
| momocat vs Claudio | 29–38 | 43.28% |
| momocat vs Shaheen | 30–36 | 45.45% |
| momocat vs Eddy | 25–34 | 42.37% |
| momocat vs Kuma | 18–33 | 35.29% |
| momocat vs Leo | 21–25 | 45.65% |
| momocat vs Lidia | 17–26 | 39.53% |
| momocat vs Leroy | 23–18 | 56.10% |
| momocat vs Raven | 14–22 | 38.89% |
| momocat vs Miary Zo | 14–18 | 43.75% |
| momocat vs Zafina | 11–13 | 45.83% |
| momocat vs Panda | 4–15 | 21.05% |
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.