| UG5884 vs Dragunov | 292–326 | 47.25% |
| UG5884 vs Bryan | 262–333 | 44.03% |
| UG5884 vs Kazuya | 290–290 | 50.00% |
| UG5884 vs Hwoarang | 218–304 | 41.76% |
| UG5884 vs Paul | 229–285 | 44.55% |
| UG5884 vs King | 221–289 | 43.33% |
| UG5884 vs Jin | 212–278 | 43.27% |
| UG5884 vs Reina | 230–244 | 48.52% |
| UG5884 vs Asuka | 196–204 | 49.00% |
| UG5884 vs Victor | 181–202 | 47.26% |
| UG5884 vs Steve | 148–226 | 39.57% |
| UG5884 vs Law | 179–193–1 | 48.12% |
| UG5884 vs Lidia | 150–210 | 41.67% |
| UG5884 vs Yoshimitsu | 157–181 | 46.45% |
| UG5884 vs Lili | 154–180 | 46.11% |
| UG5884 vs Jun | 148–138 | 51.75% |
| UG5884 vs Devil Jin | 142–140 | 50.35% |
| UG5884 vs Nina | 137–144 | 48.75% |
| UG5884 vs Feng | 136–142 | 48.92% |
| UG5884 vs Jack-8 | 119–154 | 43.59% |
| UG5884 vs Heihachi | 118–134 | 46.83% |
| UG5884 vs Xiaoyu | 130–117 | 52.63% |
| UG5884 vs Azucena | 140–107 | 56.68% |
| UG5884 vs Alisa | 106–137 | 43.62% |
| UG5884 vs Lars | 91–140 | 39.39% |
| UG5884 vs Claudio | 119–107 | 52.65% |
| UG5884 vs Eddy | 111–111 | 50.00% |
| UG5884 vs Leo | 88–124 | 41.51% |
| UG5884 vs Fahkumram | 80–127 | 38.65% |
| UG5884 vs Lee | 72–115 | 38.50% |
| UG5884 vs Leroy | 79–103 | 43.41% |
| UG5884 vs Shaheen | 60–85 | 41.38% |
| UG5884 vs Raven | 62–69 | 47.33% |
| UG5884 vs Kuma | 56–64 | 46.67% |
| UG5884 vs Armor King | 44–56 | 44.00% |
| UG5884 vs Clive | 42–55 | 43.30% |
| UG5884 vs Zafina | 37–46 | 44.58% |
| UG5884 vs Anna | 33–36 | 47.83% |
| UG5884 vs Panda | 29–37 | 43.94% |
| UG5884 vs Miary Zo | 15–17 | 46.88% |
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.