| MONKEY vs Kazuya | 42–63 | 40.00% |
| MONKEY vs Jin | 39–45 | 46.43% |
| MONKEY vs Bryan | 32–40 | 44.44% |
| MONKEY vs Dragunov | 26–42 | 38.24% |
| MONKEY vs King | 21–33 | 38.89% |
| MONKEY vs Steve | 26–26 | 50.00% |
| MONKEY vs Lili | 21–17 | 55.26% |
| MONKEY vs Reina | 19–19 | 50.00% |
| MONKEY vs Feng | 8–23 | 25.81% |
| MONKEY vs Law | 12–18 | 40.00% |
| MONKEY vs Xiaoyu | 14–16 | 46.67% |
| MONKEY vs Paul | 12–17 | 41.38% |
| MONKEY vs Hwoarang | 10–18 | 35.71% |
| MONKEY vs Yoshimitsu | 13–14 | 48.15% |
| MONKEY vs Asuka | 13–14 | 48.15% |
| MONKEY vs Nina | 10–17 | 37.04% |
| MONKEY vs Jun | 11–16 | 40.74% |
| MONKEY vs Victor | 6–20 | 23.08% |
| MONKEY vs Lee | 7–18 | 28.00% |
| MONKEY vs Clive | 8–17 | 32.00% |
| MONKEY vs Heihachi | 8–15 | 34.78% |
| MONKEY vs Alisa | 9–13 | 40.91% |
| MONKEY vs Devil Jin | 11–9 | 55.00% |
| MONKEY vs Lars | 4–14 | 22.22% |
| MONKEY vs Jack-8 | 2–12 | 14.29% |
| MONKEY vs Raven | 6–6 | 50.00% |
| MONKEY vs Lidia | 3–9 | 25.00% |
| MONKEY vs Eddy | 4–5 | 44.44% |
| MONKEY vs Kuma | 2–6 | 25.00% |
| MONKEY vs Azucena | 4–4 | 50.00% |
| MONKEY vs Leo | 3–3 | 50.00% |
| MONKEY vs Shaheen | 4–2 | 66.67% |
| MONKEY vs Claudio | 4–1 | 80.00% |
| MONKEY vs Leroy | 2–3 | 40.00% |
| MONKEY vs Anna | 3–2 | 60.00% |
| MONKEY vs Armor King | 2–1 | 66.67% |
| MONKEY vs Miary Zo | 0–2 | 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.