| F0ck M3 vs Jin | 37–8 | 82.22% |
| F0ck M3 vs King | 38–1 | 97.44% |
| F0ck M3 vs Bryan | 28–3 | 90.32% |
| F0ck M3 vs Hwoarang | 25–1 | 96.15% |
| F0ck M3 vs Reina | 20–2 | 90.91% |
| F0ck M3 vs Law | 20–0 | 100.00% |
| F0ck M3 vs Kazuya | 19–0 | 100.00% |
| F0ck M3 vs Leroy | 16–3 | 84.21% |
| F0ck M3 vs Eddy | 14–5 | 73.68% |
| F0ck M3 vs Lars | 15–3 | 83.33% |
| F0ck M3 vs Devil Jin | 15–2 | 88.24% |
| F0ck M3 vs Dragunov | 15–2 | 88.24% |
| F0ck M3 vs Xiaoyu | 12–4 | 75.00% |
| F0ck M3 vs Lili | 15–0 | 100.00% |
| F0ck M3 vs Fahkumram | 9–5 | 64.29% |
| F0ck M3 vs Paul | 13–0 | 100.00% |
| F0ck M3 vs Yoshimitsu | 12–1 | 92.31% |
| F0ck M3 vs Steve | 10–1 | 90.91% |
| F0ck M3 vs Asuka | 10–1 | 90.91% |
| F0ck M3 vs Jun | 9–2 | 81.82% |
| F0ck M3 vs Leo | 10–0 | 100.00% |
| F0ck M3 vs Lee | 10–0 | 100.00% |
| F0ck M3 vs Feng | 8–1 | 88.89% |
| F0ck M3 vs Claudio | 8–1 | 88.89% |
| F0ck M3 vs Jack-8 | 7–1 | 87.50% |
| F0ck M3 vs Alisa | 6–1 | 85.71% |
| F0ck M3 vs Nina | 6–1 | 85.71% |
| F0ck M3 vs Victor | 6–1 | 85.71% |
| F0ck M3 vs Raven | 6–1 | 85.71% |
| F0ck M3 vs Panda | 4–2 | 66.67% |
| F0ck M3 vs Anna | 6–0 | 100.00% |
| F0ck M3 vs Azucena | 5–0 | 100.00% |
| F0ck M3 vs Lidia | 2–1 | 66.67% |
| F0ck M3 vs Shaheen | 0–2 | 0.00% |
| F0ck M3 vs Zafina | 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.