| mcc08045 vs Paul | 32–24 | 57.14% |
| mcc08045 vs Kazuya | 20–24 | 45.45% |
| mcc08045 vs Hwoarang | 27–13 | 67.50% |
| mcc08045 vs Reina | 23–17 | 57.50% |
| mcc08045 vs Jin | 19–15 | 55.88% |
| mcc08045 vs Dragunov | 11–23 | 32.35% |
| mcc08045 vs Victor | 16–18 | 47.06% |
| mcc08045 vs Steve | 16–9 | 64.00% |
| mcc08045 vs Asuka | 10–15 | 40.00% |
| mcc08045 vs Jun | 12–11 | 52.17% |
| mcc08045 vs Yoshimitsu | 13–9 | 59.09% |
| mcc08045 vs King | 9–12 | 42.86% |
| mcc08045 vs Xiaoyu | 12–9 | 57.14% |
| mcc08045 vs Jack-8 | 9–12 | 42.86% |
| mcc08045 vs Devil Jin | 12–9 | 57.14% |
| mcc08045 vs Lili | 8–13 | 38.10% |
| mcc08045 vs Bryan | 11–8 | 57.89% |
| mcc08045 vs Lars | 10–6 | 62.50% |
| mcc08045 vs Alisa | 9–6 | 60.00% |
| mcc08045 vs Nina | 7–8 | 46.67% |
| mcc08045 vs Feng | 6–8 | 42.86% |
| mcc08045 vs Law | 3–10 | 23.08% |
| mcc08045 vs Azucena | 5–8 | 38.46% |
| mcc08045 vs Leroy | 7–5 | 58.33% |
| mcc08045 vs Leo | 4–7 | 36.36% |
| mcc08045 vs Claudio | 2–9 | 18.18% |
| mcc08045 vs Lee | 3–7 | 30.00% |
| mcc08045 vs Zafina | 5–3 | 62.50% |
| mcc08045 vs Eddy | 3–5 | 37.50% |
| mcc08045 vs Heihachi | 2–4 | 33.33% |
| mcc08045 vs Lidia | 1–4 | 20.00% |
| mcc08045 vs Clive | 3–2 | 60.00% |
| mcc08045 vs Shaheen | 1–2 | 33.33% |
| mcc08045 vs Raven | 2–1 | 66.67% |
| mcc08045 vs Anna | 1–1 | 50.00% |
| mcc08045 vs Panda | 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.