| mo712 vs Victor | 20–19 | 51.28% |
| mo712 vs Kazuya | 22–16 | 57.89% |
| mo712 vs King | 12–24 | 33.33% |
| mo712 vs Hwoarang | 18–15 | 54.55% |
| mo712 vs Steve | 20–12 | 62.50% |
| mo712 vs Paul | 14–16 | 46.67% |
| mo712 vs Jin | 13–17 | 43.33% |
| mo712 vs Reina | 15–12 | 55.56% |
| mo712 vs Dragunov | 15–11 | 57.69% |
| mo712 vs Miary Zo | 6–19 | 24.00% |
| mo712 vs Law | 17–7 | 70.83% |
| mo712 vs Asuka | 10–12 | 45.45% |
| mo712 vs Jun | 9–12 | 42.86% |
| mo712 vs Azucena | 9–11 | 45.00% |
| mo712 vs Xiaoyu | 8–11 | 42.11% |
| mo712 vs Alisa | 9–9 | 50.00% |
| mo712 vs Nina | 10–7 | 58.82% |
| mo712 vs Lili | 6–8 | 42.86% |
| mo712 vs Fahkumram | 8–6 | 57.14% |
| mo712 vs Claudio | 4–9 | 30.77% |
| mo712 vs Heihachi | 9–4 | 69.23% |
| mo712 vs Bryan | 10–2 | 83.33% |
| mo712 vs Yoshimitsu | 6–5 | 54.55% |
| mo712 vs Clive | 3–8 | 27.27% |
| mo712 vs Lee | 4–6 | 40.00% |
| mo712 vs Armor King | 6–3 | 66.67% |
| mo712 vs Devil Jin | 4–4 | 50.00% |
| mo712 vs Eddy | 4–4 | 50.00% |
| mo712 vs Lars | 4–3 | 57.14% |
| mo712 vs Zafina | 4–2 | 66.67% |
| mo712 vs Leroy | 2–3 | 40.00% |
| mo712 vs Lidia | 2–3 | 40.00% |
| mo712 vs Jack-8 | 1–3 | 25.00% |
| mo712 vs Anna | 2–2 | 50.00% |
| mo712 vs Feng | 2–1 | 66.67% |
| mo712 vs Leo | 3–0 | 100.00% |
| mo712 vs Kuma | 0–3 | 0.00% |
| mo712 vs Shaheen | 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.