| Monkichi vs Jin | 50–49 | 50.51% |
| Monkichi vs Dragunov | 50–45 | 52.63% |
| Monkichi vs Bryan | 42–38 | 52.50% |
| Monkichi vs King | 47–31 | 60.26% |
| Monkichi vs Devil Jin | 29–42 | 40.85% |
| Monkichi vs Kazuya | 39–30 | 56.52% |
| Monkichi vs Hwoarang | 40–26 | 60.61% |
| Monkichi vs Paul | 31–30 | 50.82% |
| Monkichi vs Reina | 35–24 | 59.32% |
| Monkichi vs Steve | 35–23 | 60.34% |
| Monkichi vs Yoshimitsu | 32–24 | 57.14% |
| Monkichi vs Xiaoyu | 28–23 | 54.90% |
| Monkichi vs Heihachi | 26–20 | 56.52% |
| Monkichi vs Lee | 15–30 | 33.33% |
| Monkichi vs Lili | 21–23 | 47.73% |
| Monkichi vs Law | 10–28 | 26.32% |
| Monkichi vs Feng | 18–20 | 47.37% |
| Monkichi vs Jun | 21–15 | 58.33% |
| Monkichi vs Nina | 16–19 | 45.71% |
| Monkichi vs Azucena | 21–11 | 65.62% |
| Monkichi vs Victor | 11–18 | 37.93% |
| Monkichi vs Lidia | 13–15 | 46.43% |
| Monkichi vs Alisa | 5–22 | 18.52% |
| Monkichi vs Leo | 11–13 | 45.83% |
| Monkichi vs Claudio | 10–14 | 41.67% |
| Monkichi vs Lars | 13–10 | 56.52% |
| Monkichi vs Eddy | 11–12 | 47.83% |
| Monkichi vs Armor King | 11–12 | 47.83% |
| Monkichi vs Leroy | 10–11 | 47.62% |
| Monkichi vs Clive | 10–11 | 47.62% |
| Monkichi vs Zafina | 7–13 | 35.00% |
| Monkichi vs Miary Zo | 14–5 | 73.68% |
| Monkichi vs Shaheen | 9–8 | 52.94% |
| Monkichi vs Raven | 7–10 | 41.18% |
| Monkichi vs Asuka | 9–6 | 60.00% |
| Monkichi vs Jack-8 | 6–6 | 50.00% |
| Monkichi vs Anna | 2–5 | 28.57% |
| Monkichi vs Kuma | 4–2 | 66.67% |
| Monkichi vs Panda | 2–4 | 33.33% |
| Monkichi vs Fahkumram | 5–1 | 83.33% |
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.