| MonkayGlands vs Reina | 64–62 | 50.79% |
| MonkayGlands vs Kazuya | 58–56 | 50.88% |
| MonkayGlands vs Lidia | 49–41 | 54.44% |
| MonkayGlands vs King | 35–53 | 39.77% |
| MonkayGlands vs Eddy | 15–69 | 17.86% |
| MonkayGlands vs Jin | 30–52 | 36.59% |
| MonkayGlands vs Bryan | 36–33 | 52.17% |
| MonkayGlands vs Dragunov | 25–40 | 38.46% |
| MonkayGlands vs Steve | 25–39 | 39.06% |
| MonkayGlands vs Lee | 19–35 | 35.19% |
| MonkayGlands vs Heihachi | 28–25 | 52.83% |
| MonkayGlands vs Lili | 17–33 | 34.00% |
| MonkayGlands vs Jun | 14–35 | 28.57% |
| MonkayGlands vs Paul | 21–27 | 43.75% |
| MonkayGlands vs Hwoarang | 22–24 | 47.83% |
| MonkayGlands vs Law | 20–23 | 46.51% |
| MonkayGlands vs Asuka | 16–27 | 37.21% |
| MonkayGlands vs Nina | 17–26 | 39.53% |
| MonkayGlands vs Azucena | 15–25 | 37.50% |
| MonkayGlands vs Yoshimitsu | 11–27 | 28.95% |
| MonkayGlands vs Victor | 12–26 | 31.58% |
| MonkayGlands vs Leo | 17–17 | 50.00% |
| MonkayGlands vs Leroy | 14–20 | 41.18% |
| MonkayGlands vs Kuma | 8–22 | 26.67% |
| MonkayGlands vs Feng | 14–15 | 48.28% |
| MonkayGlands vs Lars | 16–12 | 57.14% |
| MonkayGlands vs Devil Jin | 16–11 | 59.26% |
| MonkayGlands vs Jack-8 | 12–11 | 52.17% |
| MonkayGlands vs Alisa | 6–15 | 28.57% |
| MonkayGlands vs Shaheen | 6–12 | 33.33% |
| MonkayGlands vs Xiaoyu | 5–12 | 29.41% |
| MonkayGlands vs Claudio | 2–15 | 11.76% |
| MonkayGlands vs Zafina | 8–9 | 47.06% |
| MonkayGlands vs Raven | 9–7 | 56.25% |
| MonkayGlands vs Panda | 2–7 | 22.22% |
| MonkayGlands vs Clive | 4–2 | 66.67% |
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.