| M3WLM vs Jin | 207–148–1 | 58.31% |
| M3WLM vs Kazuya | 177–141 | 55.66% |
| M3WLM vs Dragunov | 96–118 | 44.86% |
| M3WLM vs King | 127–81 | 61.06% |
| M3WLM vs Hwoarang | 105–102 | 50.72% |
| M3WLM vs Bryan | 85–105 | 44.74% |
| M3WLM vs Paul | 83–78 | 51.55% |
| M3WLM vs Feng | 81–77 | 51.27% |
| M3WLM vs Steve | 87–58 | 60.00% |
| M3WLM vs Reina | 71–57 | 55.47% |
| M3WLM vs Yoshimitsu | 68–59 | 53.54% |
| M3WLM vs Law | 53–71 | 42.74% |
| M3WLM vs Devil Jin | 48–74 | 39.34% |
| M3WLM vs Lili | 39–54 | 41.94% |
| M3WLM vs Lars | 46–46 | 50.00% |
| M3WLM vs Eddy | 44–47 | 48.35% |
| M3WLM vs Asuka | 43–46 | 48.31% |
| M3WLM vs Alisa | 35–42 | 45.45% |
| M3WLM vs Lee | 38–38 | 50.00% |
| M3WLM vs Heihachi | 33–38 | 46.48% |
| M3WLM vs Jack-8 | 30–39 | 43.48% |
| M3WLM vs Xiaoyu | 34–34 | 50.00% |
| M3WLM vs Azucena | 38–28 | 57.58% |
| M3WLM vs Leroy | 35–29 | 54.69% |
| M3WLM vs Victor | 26–38 | 40.62% |
| M3WLM vs Nina | 35–20 | 63.64% |
| M3WLM vs Jun | 25–30 | 45.45% |
| M3WLM vs Claudio | 23–31 | 42.59% |
| M3WLM vs Armor King | 10–29 | 25.64% |
| M3WLM vs Anna | 20–18 | 52.63% |
| M3WLM vs Raven | 12–25 | 32.43% |
| M3WLM vs Fahkumram | 16–21 | 43.24% |
| M3WLM vs Kuma | 11–20 | 35.48% |
| M3WLM vs Zafina | 14–17 | 45.16% |
| M3WLM vs Leo | 14–16 | 46.67% |
| M3WLM vs Lidia | 8–19 | 29.63% |
| M3WLM vs Shaheen | 11–13 | 45.83% |
| M3WLM vs Clive | 8–11 | 42.11% |
| M3WLM vs Panda | 2–7 | 22.22% |
| M3WLM vs Miary Zo | 4–1 | 80.00% |
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.