| ThatsMoG vs Jin | 264–263 | 50.09% |
| ThatsMoG vs King | 262–255 | 50.68% |
| ThatsMoG vs Kazuya | 242–274 | 46.90% |
| ThatsMoG vs Bryan | 243–244 | 49.90% |
| ThatsMoG vs Hwoarang | 200–227 | 46.84% |
| ThatsMoG vs Lee | 172–224 | 43.43% |
| ThatsMoG vs Steve | 182–204 | 47.15% |
| ThatsMoG vs Reina | 176–203 | 46.44% |
| ThatsMoG vs Law | 172–197 | 46.61% |
| ThatsMoG vs Dragunov | 131–165 | 44.26% |
| ThatsMoG vs Yoshimitsu | 158–131 | 54.67% |
| ThatsMoG vs Paul | 98–181 | 35.13% |
| ThatsMoG vs Lili | 131–136 | 49.06% |
| ThatsMoG vs Xiaoyu | 132–131 | 50.19% |
| ThatsMoG vs Heihachi | 113–136–1 | 45.38% |
| ThatsMoG vs Jun | 106–141 | 42.91% |
| ThatsMoG vs Azucena | 125–113 | 52.52% |
| ThatsMoG vs Eddy | 106–107 | 49.77% |
| ThatsMoG vs Lidia | 94–116 | 44.76% |
| ThatsMoG vs Lars | 111–98 | 53.11% |
| ThatsMoG vs Asuka | 89–117 | 43.20% |
| ThatsMoG vs Nina | 96–103 | 48.24% |
| ThatsMoG vs Raven | 75–103 | 42.13% |
| ThatsMoG vs Devil Jin | 73–104 | 41.24% |
| ThatsMoG vs Leo | 100–65 | 60.61% |
| ThatsMoG vs Feng | 65–78 | 45.45% |
| ThatsMoG vs Victor | 73–70 | 51.05% |
| ThatsMoG vs Alisa | 74–68 | 52.11% |
| ThatsMoG vs Leroy | 68–74 | 47.89% |
| ThatsMoG vs Armor King | 53–63 | 45.69% |
| ThatsMoG vs Jack-8 | 46–65 | 41.44% |
| ThatsMoG vs Fahkumram | 41–65 | 38.68% |
| ThatsMoG vs Zafina | 44–60 | 42.31% |
| ThatsMoG vs Claudio | 36–60 | 37.50% |
| ThatsMoG vs Kuma | 45–49 | 47.87% |
| ThatsMoG vs Clive | 42–35 | 54.55% |
| ThatsMoG vs Shaheen | 26–37 | 41.27% |
| ThatsMoG vs Anna | 39–23 | 62.90% |
| ThatsMoG vs Panda | 19–14 | 57.58% |
| ThatsMoG vs Miary Zo | 11–21 | 34.38% |
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.