| Mofvsnm vs Eddy | 31–62 | 33.33% |
| Mofvsnm vs Jin | 23–33 | 41.07% |
| Mofvsnm vs Steve | 30–24 | 55.56% |
| Mofvsnm vs King | 24–25 | 48.98% |
| Mofvsnm vs Kazuya | 20–29 | 40.82% |
| Mofvsnm vs Reina | 20–22 | 47.62% |
| Mofvsnm vs Victor | 15–21 | 41.67% |
| Mofvsnm vs Lili | 16–18 | 47.06% |
| Mofvsnm vs Azucena | 15–16 | 48.39% |
| Mofvsnm vs Hwoarang | 22–5 | 81.48% |
| Mofvsnm vs Dragunov | 12–15 | 44.44% |
| Mofvsnm vs Nina | 12–13 | 48.00% |
| Mofvsnm vs Lars | 5–19 | 20.83% |
| Mofvsnm vs Paul | 5–17 | 22.73% |
| Mofvsnm vs Xiaoyu | 1–21 | 4.55% |
| Mofvsnm vs Bryan | 9–13 | 40.91% |
| Mofvsnm vs Claudio | 10–12 | 45.45% |
| Mofvsnm vs Yoshimitsu | 10–10 | 50.00% |
| Mofvsnm vs Asuka | 10–9 | 52.63% |
| Mofvsnm vs Alisa | 7–12 | 36.84% |
| Mofvsnm vs Jun | 6–12 | 33.33% |
| Mofvsnm vs Leo | 10–7 | 58.82% |
| Mofvsnm vs Law | 7–9 | 43.75% |
| Mofvsnm vs Feng | 6–8 | 42.86% |
| Mofvsnm vs Armor King | 4–9 | 30.77% |
| Mofvsnm vs Raven | 3–9 | 25.00% |
| Mofvsnm vs Heihachi | 4–8 | 33.33% |
| Mofvsnm vs Fahkumram | 4–8 | 33.33% |
| Mofvsnm vs Lee | 2–9 | 18.18% |
| Mofvsnm vs Miary Zo | 6–4 | 60.00% |
| Mofvsnm vs Devil Jin | 2–6 | 25.00% |
| Mofvsnm vs Shaheen | 5–3 | 62.50% |
| Mofvsnm vs Zafina | 5–3 | 62.50% |
| Mofvsnm vs Lidia | 6–2 | 75.00% |
| Mofvsnm vs Panda | 5–1 | 83.33% |
| Mofvsnm vs Leroy | 0–5 | 0.00% |
| Mofvsnm vs Clive | 2–3 | 40.00% |
| Mofvsnm vs Kuma | 2–1 | 66.67% |
| Mofvsnm vs Jack-8 | 1–1 | 50.00% |
| Mofvsnm vs Anna | 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.