| tmtm2024 vs Jin | 104–90 | 53.61% |
| tmtm2024 vs Kazuya | 79–83 | 48.77% |
| tmtm2024 vs Bryan | 70–86 | 44.87% |
| tmtm2024 vs King | 61–64 | 48.80% |
| tmtm2024 vs Reina | 64–48 | 57.14% |
| tmtm2024 vs Dragunov | 41–54 | 43.16% |
| tmtm2024 vs Steve | 41–46 | 47.13% |
| tmtm2024 vs Hwoarang | 37–44 | 45.68% |
| tmtm2024 vs Devil Jin | 34–41 | 45.33% |
| tmtm2024 vs Law | 37–37 | 50.00% |
| tmtm2024 vs Yoshimitsu | 36–38 | 48.65% |
| tmtm2024 vs Lee | 26–47 | 35.62% |
| tmtm2024 vs Paul | 28–43 | 39.44% |
| tmtm2024 vs Lili | 46–22 | 67.65% |
| tmtm2024 vs Alisa | 27–31 | 46.55% |
| tmtm2024 vs Heihachi | 21–37 | 36.21% |
| tmtm2024 vs Feng | 23–28 | 45.10% |
| tmtm2024 vs Nina | 26–17 | 60.47% |
| tmtm2024 vs Jun | 20–23 | 46.51% |
| tmtm2024 vs Victor | 10–32 | 23.81% |
| tmtm2024 vs Claudio | 16–21 | 43.24% |
| tmtm2024 vs Azucena | 15–17 | 46.88% |
| tmtm2024 vs Xiaoyu | 22–8 | 73.33% |
| tmtm2024 vs Lars | 15–14 | 51.72% |
| tmtm2024 vs Lidia | 15–14 | 51.72% |
| tmtm2024 vs Asuka | 16–12 | 57.14% |
| tmtm2024 vs Jack-8 | 9–18 | 33.33% |
| tmtm2024 vs Leroy | 11–15 | 42.31% |
| tmtm2024 vs Kuma | 10–15 | 40.00% |
| tmtm2024 vs Zafina | 11–13 | 45.83% |
| tmtm2024 vs Raven | 13–11 | 54.17% |
| tmtm2024 vs Leo | 10–9 | 52.63% |
| tmtm2024 vs Shaheen | 5–12 | 29.41% |
| tmtm2024 vs Eddy | 5–12 | 29.41% |
| tmtm2024 vs Panda | 1–1 | 50.00% |
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.