| thed vs Law | 66–75 | 46.81% |
| thed vs Jin | 74–50 | 59.68% |
| thed vs Steve | 57–65 | 46.72% |
| thed vs King | 64–51 | 55.65% |
| thed vs Bryan | 61–49 | 55.45% |
| thed vs Kazuya | 64–46 | 58.18% |
| thed vs Feng | 45–51 | 46.88% |
| thed vs Dragunov | 54–41 | 56.84% |
| thed vs Yoshimitsu | 43–51 | 45.74% |
| thed vs Hwoarang | 45–38 | 54.22% |
| thed vs Lee | 36–41 | 46.75% |
| thed vs Reina | 45–29 | 60.81% |
| thed vs Xiaoyu | 46–26 | 63.89% |
| thed vs Paul | 36–32 | 52.94% |
| thed vs Lars | 45–23 | 66.18% |
| thed vs Jun | 35–31 | 53.03% |
| thed vs Asuka | 38–27 | 58.46% |
| thed vs Nina | 24–41 | 36.92% |
| thed vs Eddy | 25–35 | 41.67% |
| thed vs Lili | 37–21 | 63.79% |
| thed vs Devil Jin | 28–22 | 56.00% |
| thed vs Victor | 19–30 | 38.78% |
| thed vs Raven | 25–22 | 53.19% |
| thed vs Lidia | 16–30 | 34.78% |
| thed vs Azucena | 20–23 | 46.51% |
| thed vs Alisa | 21–19 | 52.50% |
| thed vs Jack-8 | 9–23 | 28.12% |
| thed vs Kuma | 12–19 | 38.71% |
| thed vs Heihachi | 15–16 | 48.39% |
| thed vs Claudio | 12–17 | 41.38% |
| thed vs Shaheen | 14–14 | 50.00% |
| thed vs Zafina | 9–19 | 32.14% |
| thed vs Clive | 16–12 | 57.14% |
| thed vs Leroy | 15–12 | 55.56% |
| thed vs Leo | 18–7 | 72.00% |
| thed vs Armor King | 6–6 | 50.00% |
| thed vs Fahkumram | 6–4 | 60.00% |
| thed vs Anna | 5–4 | 55.56% |
| thed vs Panda | 0–1 | 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.