| GameMOYY vs Jin | 372–324 | 53.45% |
| GameMOYY vs Kazuya | 349–338–1 | 50.80% |
| GameMOYY vs Dragunov | 244–293 | 45.44% |
| GameMOYY vs Bryan | 220–304 | 41.98% |
| GameMOYY vs King | 294–203 | 59.15% |
| GameMOYY vs Law | 221–214 | 50.80% |
| GameMOYY vs Reina | 207–203 | 50.49% |
| GameMOYY vs Heihachi | 191–184 | 50.93% |
| GameMOYY vs Steve | 210–153 | 57.85% |
| GameMOYY vs Yoshimitsu | 140–189 | 42.55% |
| GameMOYY vs Lili | 153–154 | 49.84% |
| GameMOYY vs Devil Jin | 151–143 | 51.36% |
| GameMOYY vs Hwoarang | 123–150 | 45.05% |
| GameMOYY vs Asuka | 155–117 | 56.99% |
| GameMOYY vs Paul | 141–127 | 52.61% |
| GameMOYY vs Lars | 119–140 | 45.95% |
| GameMOYY vs Lee | 115–142 | 44.75% |
| GameMOYY vs Xiaoyu | 118–117 | 50.21% |
| GameMOYY vs Lidia | 104–127 | 45.02% |
| GameMOYY vs Armor King | 103–125 | 45.18% |
| GameMOYY vs Victor | 116–110 | 51.33% |
| GameMOYY vs Jun | 133–90 | 59.64% |
| GameMOYY vs Eddy | 117–98 | 54.42% |
| GameMOYY vs Nina | 89–115 | 43.63% |
| GameMOYY vs Fahkumram | 94–109 | 46.31% |
| GameMOYY vs Feng | 89–97 | 47.85% |
| GameMOYY vs Azucena | 75–98 | 43.35% |
| GameMOYY vs Clive | 99–71 | 58.24% |
| GameMOYY vs Leroy | 74–90 | 45.12% |
| GameMOYY vs Claudio | 71–90 | 44.10% |
| GameMOYY vs Alisa | 64–87 | 42.38% |
| GameMOYY vs Leo | 73–74 | 49.66% |
| GameMOYY vs Anna | 53–86 | 38.13% |
| GameMOYY vs Zafina | 55–66 | 45.45% |
| GameMOYY vs Jack-8 | 63–50 | 55.75% |
| GameMOYY vs Raven | 26–73–1 | 26.26% |
| GameMOYY vs Shaheen | 45–50 | 47.37% |
| GameMOYY vs Kuma | 42–40 | 51.22% |
| GameMOYY vs Miary Zo | 15–30 | 33.33% |
| GameMOYY vs Panda | 10–23 | 30.30% |
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.