| Monolith vs King | 54–55 | 49.54% |
| Monolith vs Jin | 46–39 | 54.12% |
| Monolith vs Bryan | 38–42 | 47.50% |
| Monolith vs Kazuya | 33–37 | 47.14% |
| Monolith vs Steve | 33–32 | 50.77% |
| Monolith vs Law | 24–34 | 41.38% |
| Monolith vs Hwoarang | 21–37 | 36.21% |
| Monolith vs Victor | 29–26 | 52.73% |
| Monolith vs Eddy | 22–29 | 43.14% |
| Monolith vs Heihachi | 19–28 | 40.43% |
| Monolith vs Paul | 16–28 | 36.36% |
| Monolith vs Armor King | 21–23 | 47.73% |
| Monolith vs Reina | 16–24 | 40.00% |
| Monolith vs Dragunov | 19–19 | 50.00% |
| Monolith vs Asuka | 20–17 | 54.05% |
| Monolith vs Lars | 17–19 | 47.22% |
| Monolith vs Azucena | 21–15 | 58.33% |
| Monolith vs Feng | 13–19 | 40.62% |
| Monolith vs Jun | 17–15 | 53.12% |
| Monolith vs Miary Zo | 15–16 | 48.39% |
| Monolith vs Yoshimitsu | 16–14 | 53.33% |
| Monolith vs Lidia | 13–17 | 43.33% |
| Monolith vs Anna | 16–14 | 53.33% |
| Monolith vs Lee | 14–15 | 48.28% |
| Monolith vs Leroy | 13–16 | 44.83% |
| Monolith vs Jack-8 | 15–13 | 53.57% |
| Monolith vs Lili | 15–12 | 55.56% |
| Monolith vs Nina | 9–15 | 37.50% |
| Monolith vs Xiaoyu | 5–15 | 25.00% |
| Monolith vs Alisa | 9–11 | 45.00% |
| Monolith vs Leo | 11–5 | 68.75% |
| Monolith vs Raven | 10–5 | 66.67% |
| Monolith vs Devil Jin | 6–8 | 42.86% |
| Monolith vs Zafina | 10–4 | 71.43% |
| Monolith vs Clive | 5–8 | 38.46% |
| Monolith vs Kuma | 7–5 | 58.33% |
| Monolith vs Claudio | 3–4 | 42.86% |
| Monolith vs Shaheen | 4–2 | 66.67% |
| Monolith vs Fahkumram | 3–2 | 60.00% |
| Monolith vs Panda | 3–0 | 100.00% |
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.