| t_monk vs Hwoarang | 55–87 | 38.73% |
| t_monk vs King | 69–55 | 55.65% |
| t_monk vs Dragunov | 49–60 | 44.95% |
| t_monk vs Reina | 53–50 | 51.46% |
| t_monk vs Paul | 45–53 | 45.92% |
| t_monk vs Asuka | 54–41 | 56.84% |
| t_monk vs Lili | 49–41 | 54.44% |
| t_monk vs Jin | 46–42 | 52.27% |
| t_monk vs Kazuya | 39–48 | 44.83% |
| t_monk vs Victor | 55–30 | 64.71% |
| t_monk vs Eddy | 28–55 | 33.73% |
| t_monk vs Steve | 45–34 | 56.96% |
| t_monk vs Feng | 39–39 | 50.00% |
| t_monk vs Yoshimitsu | 50–26 | 65.79% |
| t_monk vs Bryan | 26–46 | 36.11% |
| t_monk vs Alisa | 34–35 | 49.28% |
| t_monk vs Jun | 33–33 | 50.00% |
| t_monk vs Law | 29–36 | 44.62% |
| t_monk vs Nina | 43–22 | 66.15% |
| t_monk vs Lidia | 29–33 | 46.77% |
| t_monk vs Xiaoyu | 26–31 | 45.61% |
| t_monk vs Azucena | 30–25 | 54.55% |
| t_monk vs Lars | 26–27 | 49.06% |
| t_monk vs Leo | 27–25 | 51.92% |
| t_monk vs Raven | 14–29 | 32.56% |
| t_monk vs Devil Jin | 25–15 | 62.50% |
| t_monk vs Shaheen | 16–21 | 43.24% |
| t_monk vs Leroy | 13–23 | 36.11% |
| t_monk vs Jack-8 | 17–18 | 48.57% |
| t_monk vs Zafina | 18–16 | 52.94% |
| t_monk vs Lee | 17–15 | 53.12% |
| t_monk vs Claudio | 14–17 | 45.16% |
| t_monk vs Kuma | 18–12 | 60.00% |
| t_monk vs Panda | 14–4 | 77.78% |
| t_monk vs Heihachi | 6–10 | 37.50% |
| t_monk vs Clive | 4–5 | 44.44% |
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.