| Momo vs Jin | 24–30 | 44.44% |
| Momo vs Kazuya | 19–24 | 44.19% |
| Momo vs Steve | 18–22 | 45.00% |
| Momo vs Armor King | 21–18 | 53.85% |
| Momo vs Law | 13–23 | 36.11% |
| Momo vs Bryan | 17–16 | 51.52% |
| Momo vs King | 13–16 | 44.83% |
| Momo vs Hwoarang | 11–18 | 37.93% |
| Momo vs Eddy | 16–12 | 57.14% |
| Momo vs Miary Zo | 10–17 | 37.04% |
| Momo vs Devil Jin | 11–15 | 42.31% |
| Momo vs Heihachi | 13–11 | 54.17% |
| Momo vs Victor | 12–10 | 54.55% |
| Momo vs Lili | 12–9 | 57.14% |
| Momo vs Dragunov | 8–13 | 38.10% |
| Momo vs Reina | 8–13 | 38.10% |
| Momo vs Paul | 4–15 | 21.05% |
| Momo vs Lee | 9–8 | 52.94% |
| Momo vs Nina | 5–11 | 31.25% |
| Momo vs Lars | 7–7 | 50.00% |
| Momo vs Fahkumram | 9–5 | 64.29% |
| Momo vs Feng | 4–9 | 30.77% |
| Momo vs Alisa | 8–5 | 61.54% |
| Momo vs Shaheen | 7–6 | 53.85% |
| Momo vs Azucena | 6–6 | 50.00% |
| Momo vs Jun | 4–7 | 36.36% |
| Momo vs Kuma | 6–4 | 60.00% |
| Momo vs Clive | 3–7 | 30.00% |
| Momo vs Xiaoyu | 5–4 | 55.56% |
| Momo vs Anna | 8–1 | 88.89% |
| Momo vs Yoshimitsu | 3–5 | 37.50% |
| Momo vs Asuka | 4–3 | 57.14% |
| Momo vs Leo | 2–4 | 33.33% |
| Momo vs Raven | 3–3 | 50.00% |
| Momo vs Claudio | 2–2 | 50.00% |
| Momo vs Panda | 1–3 | 25.00% |
| Momo vs Jack-8 | 1–2 | 33.33% |
| Momo vs Zafina | 1–2 | 33.33% |
| Momo vs Lidia | 2–1 | 66.67% |
| Momo vs Leroy | 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.