| JOJOOMonsi vs Jin | 76–48 | 61.29% |
| JOJOOMonsi vs Clive | 52–57 | 47.71% |
| JOJOOMonsi vs Kazuya | 59–37 | 61.46% |
| JOJOOMonsi vs Dragunov | 45–45 | 50.00% |
| JOJOOMonsi vs King | 36–42 | 46.15% |
| JOJOOMonsi vs Steve | 42–35 | 54.55% |
| JOJOOMonsi vs Reina | 42–34 | 55.26% |
| JOJOOMonsi vs Bryan | 33–30 | 52.38% |
| JOJOOMonsi vs Law | 24–34 | 41.38% |
| JOJOOMonsi vs Lili | 30–23 | 56.60% |
| JOJOOMonsi vs Devil Jin | 26–22 | 54.17% |
| JOJOOMonsi vs Jun | 26–20 | 56.52% |
| JOJOOMonsi vs Hwoarang | 21–24 | 46.67% |
| JOJOOMonsi vs Lars | 30–13 | 69.77% |
| JOJOOMonsi vs Paul | 23–19 | 54.76% |
| JOJOOMonsi vs Asuka | 19–21 | 47.50% |
| JOJOOMonsi vs Heihachi | 20–19 | 51.28% |
| JOJOOMonsi vs Victor | 19–14 | 57.58% |
| JOJOOMonsi vs Armor King | 18–15 | 54.55% |
| JOJOOMonsi vs Feng | 14–14 | 50.00% |
| JOJOOMonsi vs Lee | 19–9 | 67.86% |
| JOJOOMonsi vs Yoshimitsu | 15–9 | 62.50% |
| JOJOOMonsi vs Azucena | 15–5 | 75.00% |
| JOJOOMonsi vs Raven | 6–14 | 30.00% |
| JOJOOMonsi vs Alisa | 8–10 | 44.44% |
| JOJOOMonsi vs Leroy | 8–9 | 47.06% |
| JOJOOMonsi vs Jack-8 | 4–12 | 25.00% |
| JOJOOMonsi vs Xiaoyu | 10–5 | 66.67% |
| JOJOOMonsi vs Nina | 10–5 | 66.67% |
| JOJOOMonsi vs Zafina | 7–8 | 46.67% |
| JOJOOMonsi vs Claudio | 2–10 | 16.67% |
| JOJOOMonsi vs Leo | 4–6 | 40.00% |
| JOJOOMonsi vs Fahkumram | 9–1 | 90.00% |
| JOJOOMonsi vs Anna | 2–6 | 25.00% |
| JOJOOMonsi vs Eddy | 4–3 | 57.14% |
| JOJOOMonsi vs Shaheen | 1–5 | 16.67% |
| JOJOOMonsi vs Kuma | 2–4 | 33.33% |
| JOJOOMonsi vs Miary Zo | 3–2 | 60.00% |
| JOJOOMonsi vs Lidia | 2–2 | 50.00% |
| JOJOOMonsi vs Panda | 1–0 | 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.