| momo vs Jin | 30–17 | 63.83% |
| momo vs King | 22–23 | 48.89% |
| momo vs Reina | 24–14 | 63.16% |
| momo vs Kazuya | 16–18 | 47.06% |
| momo vs Law | 18–14 | 56.25% |
| momo vs Paul | 10–18 | 35.71% |
| momo vs Hwoarang | 10–17 | 37.04% |
| momo vs Yoshimitsu | 14–11 | 56.00% |
| momo vs Dragunov | 12–11 | 52.17% |
| momo vs Steve | 11–10 | 52.38% |
| momo vs Eddy | 10–11 | 47.62% |
| momo vs Lidia | 11–6 | 64.71% |
| momo vs Bryan | 6–10 | 37.50% |
| momo vs Asuka | 8–8 | 50.00% |
| momo vs Devil Jin | 4–11 | 26.67% |
| momo vs Nina | 11–4 | 73.33% |
| momo vs Lee | 6–9 | 40.00% |
| momo vs Azucena | 10–5 | 66.67% |
| momo vs Victor | 7–8 | 46.67% |
| momo vs Xiaoyu | 8–5 | 61.54% |
| momo vs Lars | 8–5 | 61.54% |
| momo vs Jun | 7–6 | 53.85% |
| momo vs Zafina | 3–7 | 30.00% |
| momo vs Heihachi | 7–3 | 70.00% |
| momo vs Feng | 5–4 | 55.56% |
| momo vs Alisa | 2–6 | 25.00% |
| momo vs Claudio | 4–4 | 50.00% |
| momo vs Raven | 6–2 | 75.00% |
| momo vs Jack-8 | 2–5 | 28.57% |
| momo vs Lili | 2–5 | 28.57% |
| momo vs Leo | 6–1 | 85.71% |
| momo vs Leroy | 1–5 | 16.67% |
| momo vs Kuma | 4–1 | 80.00% |
| momo vs Clive | 3–1 | 75.00% |
| momo vs Shaheen | 0–3 | 0.00% |
| momo vs Panda | 2–1 | 66.67% |
| momo vs Fahkumram | 2–0 | 100.00% |
| momo vs Miary Zo | 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.