| M3ngsk vs Jin | 135–111 | 54.88% |
| M3ngsk vs Kazuya | 115–108 | 51.57% |
| M3ngsk vs Dragunov | 116–96 | 54.72% |
| M3ngsk vs King | 121–86 | 58.45% |
| M3ngsk vs Bryan | 68–107 | 38.86% |
| M3ngsk vs Reina | 68–107 | 38.86% |
| M3ngsk vs Steve | 94–67 | 58.39% |
| M3ngsk vs Law | 79–79 | 50.00% |
| M3ngsk vs Hwoarang | 73–79 | 48.03% |
| M3ngsk vs Heihachi | 64–55 | 53.78% |
| M3ngsk vs Lili | 51–62 | 45.13% |
| M3ngsk vs Yoshimitsu | 51–60 | 45.95% |
| M3ngsk vs Asuka | 50–61 | 45.05% |
| M3ngsk vs Paul | 48–62 | 43.64% |
| M3ngsk vs Victor | 38–64 | 37.25% |
| M3ngsk vs Clive | 43–54 | 44.33% |
| M3ngsk vs Xiaoyu | 31–58–1 | 34.83% |
| M3ngsk vs Devil Jin | 44–43 | 50.57% |
| M3ngsk vs Lars | 34–53 | 39.08% |
| M3ngsk vs Jun | 31–55 | 36.05% |
| M3ngsk vs Jack-8 | 27–42 | 39.13% |
| M3ngsk vs Alisa | 33–35 | 48.53% |
| M3ngsk vs Nina | 18–44 | 29.03% |
| M3ngsk vs Claudio | 33–28 | 54.10% |
| M3ngsk vs Lee | 20–39 | 33.90% |
| M3ngsk vs Armor King | 19–40 | 32.20% |
| M3ngsk vs Azucena | 23–31 | 42.59% |
| M3ngsk vs Lidia | 18–35 | 33.96% |
| M3ngsk vs Feng | 23–25 | 47.92% |
| M3ngsk vs Leo | 15–29 | 34.09% |
| M3ngsk vs Eddy | 15–27 | 35.71% |
| M3ngsk vs Leroy | 19–17 | 52.78% |
| M3ngsk vs Anna | 18–16 | 52.94% |
| M3ngsk vs Fahkumram | 11–20 | 35.48% |
| M3ngsk vs Shaheen | 17–11 | 60.71% |
| M3ngsk vs Raven | 10–11 | 47.62% |
| M3ngsk vs Panda | 11–5 | 68.75% |
| M3ngsk vs Kuma | 6–8 | 42.86% |
| M3ngsk vs Zafina | 1–4 | 20.00% |
| M3ngsk vs Miary Zo | 1–0 | 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.