| MDenoryT vs Kazuya | 78–67 | 53.79% |
| MDenoryT vs King | 71–65 | 52.21% |
| MDenoryT vs Jin | 60–63 | 48.78% |
| MDenoryT vs Reina | 68–50 | 57.63% |
| MDenoryT vs Bryan | 34–44 | 43.59% |
| MDenoryT vs Law | 35–38 | 47.95% |
| MDenoryT vs Hwoarang | 37–34 | 52.11% |
| MDenoryT vs Heihachi | 24–43 | 35.82% |
| MDenoryT vs Paul | 30–34 | 46.88% |
| MDenoryT vs Yoshimitsu | 28–33 | 45.90% |
| MDenoryT vs Lili | 29–29 | 50.00% |
| MDenoryT vs Dragunov | 22–36 | 37.93% |
| MDenoryT vs Steve | 25–29 | 46.30% |
| MDenoryT vs Armor King | 24–30 | 44.44% |
| MDenoryT vs Azucena | 23–24 | 48.94% |
| MDenoryT vs Jun | 28–18 | 60.87% |
| MDenoryT vs Devil Jin | 23–21 | 52.27% |
| MDenoryT vs Nina | 17–22 | 43.59% |
| MDenoryT vs Asuka | 20–16 | 55.56% |
| MDenoryT vs Lee | 18–18 | 50.00% |
| MDenoryT vs Eddy | 14–18 | 43.75% |
| MDenoryT vs Xiaoyu | 20–10 | 66.67% |
| MDenoryT vs Lidia | 21–7 | 75.00% |
| MDenoryT vs Leo | 9–18 | 33.33% |
| MDenoryT vs Claudio | 11–13 | 45.83% |
| MDenoryT vs Victor | 9–15 | 37.50% |
| MDenoryT vs Raven | 8–13 | 38.10% |
| MDenoryT vs Lars | 9–10 | 47.37% |
| MDenoryT vs Alisa | 9–10 | 47.37% |
| MDenoryT vs Shaheen | 9–10 | 47.37% |
| MDenoryT vs Anna | 14–4 | 77.78% |
| MDenoryT vs Jack-8 | 9–8 | 52.94% |
| MDenoryT vs Feng | 10–6 | 62.50% |
| MDenoryT vs Kuma | 6–10 | 37.50% |
| MDenoryT vs Zafina | 8–6 | 57.14% |
| MDenoryT vs Clive | 7–5 | 58.33% |
| MDenoryT vs Leroy | 3–5 | 37.50% |
| MDenoryT vs Fahkumram | 4–2 | 66.67% |
| MDenoryT vs Miary Zo | 3–3 | 50.00% |
| MDenoryT 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.