| M4g1C vs Fahkumram | 33–37 | 47.14% |
| M4g1C vs Jin | 31–29 | 51.67% |
| M4g1C vs King | 24–28 | 46.15% |
| M4g1C vs Kazuya | 19–24–1 | 44.19% |
| M4g1C vs Dragunov | 19–23 | 45.24% |
| M4g1C vs Hwoarang | 11–27 | 28.95% |
| M4g1C vs Law | 12–25 | 32.43% |
| M4g1C vs Bryan | 13–21 | 38.24% |
| M4g1C vs Steve | 16–18 | 47.06% |
| M4g1C vs Heihachi | 17–13 | 56.67% |
| M4g1C vs Miary Zo | 12–16 | 42.86% |
| M4g1C vs Xiaoyu | 12–12 | 50.00% |
| M4g1C vs Asuka | 8–14 | 36.36% |
| M4g1C vs Lee | 8–14 | 36.36% |
| M4g1C vs Victor | 11–11 | 50.00% |
| M4g1C vs Leroy | 11–10 | 52.38% |
| M4g1C vs Reina | 11–9 | 55.00% |
| M4g1C vs Devil Jin | 8–10 | 44.44% |
| M4g1C vs Panda | 10–8 | 55.56% |
| M4g1C vs Anna | 7–10 | 41.18% |
| M4g1C vs Lili | 7–9 | 43.75% |
| M4g1C vs Alisa | 4–12 | 25.00% |
| M4g1C vs Lidia | 5–11 | 31.25% |
| M4g1C vs Armor King | 7–8 | 46.67% |
| M4g1C vs Yoshimitsu | 6–8 | 42.86% |
| M4g1C vs Claudio | 7–7 | 50.00% |
| M4g1C vs Eddy | 3–10 | 23.08% |
| M4g1C vs Jack-8 | 6–6 | 50.00% |
| M4g1C vs Lars | 8–4 | 66.67% |
| M4g1C vs Jun | 4–8 | 33.33% |
| M4g1C vs Nina | 3–8 | 27.27% |
| M4g1C vs Kuma | 4–4 | 50.00% |
| M4g1C vs Azucena | 3–5 | 37.50% |
| M4g1C vs Clive | 4–4 | 50.00% |
| M4g1C vs Leo | 0–6 | 0.00% |
| M4g1C vs Paul | 0–5 | 0.00% |
| M4g1C vs Feng | 2–3 | 40.00% |
| M4g1C vs Shaheen | 1–3 | 25.00% |
| M4g1C vs Raven | 2–2 | 50.00% |
| M4g1C vs Zafina | 2–1 | 66.67% |
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.