| moff vs Bryan | 31–17 | 64.58% |
| moff vs Hwoarang | 28–19 | 59.57% |
| moff vs Paul | 21–18 | 53.85% |
| moff vs Kazuya | 14–14 | 50.00% |
| moff vs Reina | 18–5 | 78.26% |
| moff vs Heihachi | 14–9 | 60.87% |
| moff vs Jin | 12–10 | 54.55% |
| moff vs Asuka | 12–10 | 54.55% |
| moff vs Dragunov | 12–10 | 54.55% |
| moff vs King | 13–8 | 61.90% |
| moff vs Law | 12–8 | 60.00% |
| moff vs Steve | 12–8 | 60.00% |
| moff vs Lili | 7–12 | 36.84% |
| moff vs Miary Zo | 10–7 | 58.82% |
| moff vs Devil Jin | 7–8 | 46.67% |
| moff vs Claudio | 7–8 | 46.67% |
| moff vs Azucena | 7–8 | 46.67% |
| moff vs Victor | 6–9 | 40.00% |
| moff vs Fahkumram | 9–6 | 60.00% |
| moff vs Leo | 9–5 | 64.29% |
| moff vs Lee | 8–6 | 57.14% |
| moff vs Yoshimitsu | 8–5 | 61.54% |
| moff vs Lars | 4–9 | 30.77% |
| moff vs Nina | 8–5 | 61.54% |
| moff vs Xiaoyu | 8–4 | 66.67% |
| moff vs Leroy | 11–1 | 91.67% |
| moff vs Jun | 6–6 | 50.00% |
| moff vs Armor King | 9–3 | 75.00% |
| moff vs Alisa | 3–5 | 37.50% |
| moff vs Panda | 5–3 | 62.50% |
| moff vs Clive | 3–5 | 37.50% |
| moff vs Raven | 3–4 | 42.86% |
| moff vs Jack-8 | 5–1 | 83.33% |
| moff vs Feng | 3–3 | 50.00% |
| moff vs Eddy | 1–5 | 16.67% |
| moff vs Anna | 5–1 | 83.33% |
| moff vs Lidia | 2–2 | 50.00% |
| moff vs Shaheen | 0–3 | 0.00% |
| moff vs Kuma | 2–1 | 66.67% |
| moff vs Zafina | 0–1 | 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.