| Mofa vs King | 38–17 | 69.09% |
| Mofa vs Asuka | 25–17 | 59.52% |
| Mofa vs Jack-8 | 26–11 | 70.27% |
| Mofa vs Kazuya | 23–10 | 69.70% |
| Mofa vs Heihachi | 24–9 | 72.73% |
| Mofa vs Jin | 21–10 | 67.74% |
| Mofa vs Leo | 8–16 | 33.33% |
| Mofa vs Hwoarang | 19–4 | 82.61% |
| Mofa vs Reina | 12–9 | 57.14% |
| Mofa vs Law | 16–4 | 80.00% |
| Mofa vs Victor | 15–5 | 75.00% |
| Mofa vs Lili | 17–2 | 89.47% |
| Mofa vs Yoshimitsu | 14–4 | 77.78% |
| Mofa vs Bryan | 15–2 | 88.24% |
| Mofa vs Lars | 8–6 | 57.14% |
| Mofa vs Anna | 10–4 | 71.43% |
| Mofa vs Claudio | 8–5 | 61.54% |
| Mofa vs Dragunov | 10–2 | 83.33% |
| Mofa vs Eddy | 8–4 | 66.67% |
| Mofa vs Armor King | 7–5 | 58.33% |
| Mofa vs Paul | 8–2 | 80.00% |
| Mofa vs Devil Jin | 10–0 | 100.00% |
| Mofa vs Lidia | 8–2 | 80.00% |
| Mofa vs Fahkumram | 7–3 | 70.00% |
| Mofa vs Miary Zo | 6–4 | 60.00% |
| Mofa vs Leroy | 5–4 | 55.56% |
| Mofa vs Azucena | 9–0 | 100.00% |
| Mofa vs Clive | 5–3 | 62.50% |
| Mofa vs Steve | 6–1 | 85.71% |
| Mofa vs Feng | 7–0 | 100.00% |
| Mofa vs Nina | 6–1 | 85.71% |
| Mofa vs Panda | 4–2 | 66.67% |
| Mofa vs Zafina | 3–3 | 50.00% |
| Mofa vs Alisa | 3–1 | 75.00% |
| Mofa vs Lee | 2–2 | 50.00% |
| Mofa vs Kuma | 3–1 | 75.00% |
| Mofa vs Jun | 3–1 | 75.00% |
| Mofa vs Xiaoyu | 0–2 | 0.00% |
| Mofa vs Shaheen | 2–0 | 100.00% |
| Mofa vs Raven | 2–0 | 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.