| Myl9kin vs Jin | 155–178 | 46.55% |
| Myl9kin vs Kazuya | 153–157 | 49.35% |
| Myl9kin vs Hwoarang | 102–119 | 46.15% |
| Myl9kin vs King | 98–115 | 46.01% |
| Myl9kin vs Bryan | 102–106 | 49.04% |
| Myl9kin vs Law | 100–105 | 48.78% |
| Myl9kin vs Reina | 79–94 | 45.66% |
| Myl9kin vs Yoshimitsu | 77–73 | 51.33% |
| Myl9kin vs Steve | 73–75 | 49.32% |
| Myl9kin vs Dragunov | 41–94 | 30.37% |
| Myl9kin vs Lili | 61–72 | 45.86% |
| Myl9kin vs Jun | 48–73 | 39.67% |
| Myl9kin vs Eddy | 56–61 | 47.86% |
| Myl9kin vs Paul | 48–58 | 45.28% |
| Myl9kin vs Lee | 50–46 | 52.08% |
| Myl9kin vs Heihachi | 46–49 | 48.42% |
| Myl9kin vs Asuka | 56–36 | 60.87% |
| Myl9kin vs Victor | 37–53 | 41.11% |
| Myl9kin vs Xiaoyu | 42–36 | 53.85% |
| Myl9kin vs Azucena | 38–40 | 48.72% |
| Myl9kin vs Lars | 29–48 | 37.66% |
| Myl9kin vs Devil Jin | 28–46 | 37.84% |
| Myl9kin vs Alisa | 27–41 | 39.71% |
| Myl9kin vs Nina | 38–27 | 58.46% |
| Myl9kin vs Feng | 23–37 | 38.33% |
| Myl9kin vs Leo | 24–33 | 42.11% |
| Myl9kin vs Armor King | 23–29 | 44.23% |
| Myl9kin vs Lidia | 14–26 | 35.00% |
| Myl9kin vs Kuma | 15–24 | 38.46% |
| Myl9kin vs Leroy | 18–21 | 46.15% |
| Myl9kin vs Jack-8 | 19–17 | 52.78% |
| Myl9kin vs Fahkumram | 17–17 | 50.00% |
| Myl9kin vs Claudio | 12–21 | 36.36% |
| Myl9kin vs Raven | 15–16 | 48.39% |
| Myl9kin vs Clive | 15–16 | 48.39% |
| Myl9kin vs Anna | 16–12 | 57.14% |
| Myl9kin vs Zafina | 10–16 | 38.46% |
| Myl9kin vs Panda | 6–8 | 42.86% |
| Myl9kin vs Miary Zo | 1–13 | 7.14% |
| Myl9kin vs Shaheen | 4–8 | 33.33% |
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.