| Xnlyamada vs Jin | 55–108 | 33.74% |
| Xnlyamada vs Reina | 65–87 | 42.76% |
| Xnlyamada vs Kazuya | 51–87 | 36.96% |
| Xnlyamada vs Dragunov | 36–82 | 30.51% |
| Xnlyamada vs King | 39–73 | 34.82% |
| Xnlyamada vs Lili | 53–59 | 47.32% |
| Xnlyamada vs Steve | 34–54 | 38.64% |
| Xnlyamada vs Asuka | 36–52 | 40.91% |
| Xnlyamada vs Hwoarang | 34–52 | 39.53% |
| Xnlyamada vs Law | 29–50 | 36.71% |
| Xnlyamada vs Bryan | 18–54 | 25.00% |
| Xnlyamada vs Victor | 17–53 | 24.29% |
| Xnlyamada vs Yoshimitsu | 25–43 | 36.76% |
| Xnlyamada vs Lars | 17–41 | 29.31% |
| Xnlyamada vs Paul | 16–41 | 28.07% |
| Xnlyamada vs Jun | 28–22 | 56.00% |
| Xnlyamada vs Lidia | 20–27 | 42.55% |
| Xnlyamada vs Clive | 19–28 | 40.43% |
| Xnlyamada vs Devil Jin | 12–31 | 27.91% |
| Xnlyamada vs Leo | 15–28 | 34.88% |
| Xnlyamada vs Claudio | 14–28 | 33.33% |
| Xnlyamada vs Eddy | 16–26 | 38.10% |
| Xnlyamada vs Alisa | 10–31 | 24.39% |
| Xnlyamada vs Azucena | 14–21 | 40.00% |
| Xnlyamada vs Lee | 12–22 | 35.29% |
| Xnlyamada vs Xiaoyu | 10–21 | 32.26% |
| Xnlyamada vs Shaheen | 14–14 | 50.00% |
| Xnlyamada vs Nina | 11–14 | 44.00% |
| Xnlyamada vs Heihachi | 6–19 | 24.00% |
| Xnlyamada vs Fahkumram | 7–17 | 29.17% |
| Xnlyamada vs Anna | 5–16 | 23.81% |
| Xnlyamada vs Leroy | 8–12 | 40.00% |
| Xnlyamada vs Kuma | 7–10 | 41.18% |
| Xnlyamada vs Feng | 4–11 | 26.67% |
| Xnlyamada vs Raven | 6–9 | 40.00% |
| Xnlyamada vs Zafina | 8–6 | 57.14% |
| Xnlyamada vs Jack-8 | 3–10 | 23.08% |
| Xnlyamada vs Armor King | 3–6 | 33.33% |
| Xnlyamada vs Panda | 0–7 | 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.