| agui494 vs Kazuya | 218–206 | 51.42% |
| agui494 vs Jin | 136–206 | 39.77% |
| agui494 vs Bryan | 149–155 | 49.01% |
| agui494 vs Reina | 121–136 | 47.08% |
| agui494 vs Heihachi | 112–139 | 44.62% |
| agui494 vs King | 106–128 | 45.30% |
| agui494 vs Law | 99–129 | 43.42% |
| agui494 vs Hwoarang | 107–110 | 49.31% |
| agui494 vs Paul | 97–99 | 49.49% |
| agui494 vs Steve | 84–97 | 46.41% |
| agui494 vs Lili | 86–73 | 54.09% |
| agui494 vs Dragunov | 76–83 | 47.80% |
| agui494 vs Lee | 61–79 | 43.57% |
| agui494 vs Jun | 64–73 | 46.72% |
| agui494 vs Yoshimitsu | 62–71 | 46.62% |
| agui494 vs Azucena | 52–65 | 44.44% |
| agui494 vs Asuka | 54–62 | 46.55% |
| agui494 vs Lidia | 54–61 | 46.96% |
| agui494 vs Devil Jin | 49–58 | 45.79% |
| agui494 vs Lars | 48–57 | 45.71% |
| agui494 vs Eddy | 55–44 | 55.56% |
| agui494 vs Feng | 44–54 | 44.90% |
| agui494 vs Nina | 47–49 | 48.96% |
| agui494 vs Xiaoyu | 49–41 | 54.44% |
| agui494 vs Clive | 37–50 | 42.53% |
| agui494 vs Victor | 33–46 | 41.77% |
| agui494 vs Claudio | 35–40 | 46.67% |
| agui494 vs Fahkumram | 25–41 | 37.88% |
| agui494 vs Alisa | 20–39 | 33.90% |
| agui494 vs Leo | 27–29 | 48.21% |
| agui494 vs Armor King | 21–35 | 37.50% |
| agui494 vs Leroy | 21–28 | 42.86% |
| agui494 vs Kuma | 20–28 | 41.67% |
| agui494 vs Raven | 27–20 | 57.45% |
| agui494 vs Jack-8 | 23–19 | 54.76% |
| agui494 vs Anna | 18–22 | 45.00% |
| agui494 vs Shaheen | 16–18 | 47.06% |
| agui494 vs Miary Zo | 14–17 | 45.16% |
| agui494 vs Zafina | 20–8 | 71.43% |
| agui494 vs Panda | 5–6 | 45.45% |
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.