| YG 0485 vs Hwoarang | 227–131 | 63.41% |
| YG 0485 vs Dragunov | 201–131 | 60.54% |
| YG 0485 vs Paul | 203–116 | 63.64% |
| YG 0485 vs Jin | 165–112 | 59.57% |
| YG 0485 vs Bryan | 135–118 | 53.36% |
| YG 0485 vs Kazuya | 149–98 | 60.32% |
| YG 0485 vs Law | 128–111 | 53.56% |
| YG 0485 vs Steve | 115–103 | 52.75% |
| YG 0485 vs King | 123–90 | 57.75% |
| YG 0485 vs Victor | 94–118 | 44.34% |
| YG 0485 vs Reina | 107–101 | 51.44% |
| YG 0485 vs Lili | 102–66 | 60.71% |
| YG 0485 vs Asuka | 77–66 | 53.85% |
| YG 0485 vs Devil Jin | 66–64 | 50.77% |
| YG 0485 vs Eddy | 73–54 | 57.48% |
| YG 0485 vs Lee | 65–59 | 52.42% |
| YG 0485 vs Feng | 59–60 | 49.58% |
| YG 0485 vs Nina | 70–46 | 60.34% |
| YG 0485 vs Fahkumram | 61–54 | 53.04% |
| YG 0485 vs Yoshimitsu | 50–63 | 44.25% |
| YG 0485 vs Leroy | 63–48 | 56.76% |
| YG 0485 vs Jun | 54–54 | 50.00% |
| YG 0485 vs Claudio | 56–51 | 52.34% |
| YG 0485 vs Azucena | 60–47 | 56.07% |
| YG 0485 vs Lars | 57–49 | 53.77% |
| YG 0485 vs Jack-8 | 51–53 | 49.04% |
| YG 0485 vs Clive | 46–57 | 44.66% |
| YG 0485 vs Heihachi | 51–49 | 51.00% |
| YG 0485 vs Leo | 48–46 | 51.06% |
| YG 0485 vs Xiaoyu | 52–37 | 58.43% |
| YG 0485 vs Kuma | 33–54 | 37.93% |
| YG 0485 vs Armor King | 40–43 | 48.19% |
| YG 0485 vs Raven | 47–33 | 58.75% |
| YG 0485 vs Alisa | 43–28 | 60.56% |
| YG 0485 vs Anna | 28–33 | 45.90% |
| YG 0485 vs Zafina | 29–28 | 50.88% |
| YG 0485 vs Shaheen | 20–29 | 40.82% |
| YG 0485 vs Lidia | 21–20 | 51.22% |
| YG 0485 vs Panda | 11–13 | 45.83% |
| YG 0485 vs Miary Zo | 10–14 | 41.67% |
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.