| Luster vs Jin | 446–470 | 48.69% |
| Luster vs Hwoarang | 400–402 | 49.88% |
| Luster vs Kazuya | 395–379 | 51.03% |
| Luster vs Bryan | 364–404 | 47.40% |
| Luster vs Yoshimitsu | 408–304 | 57.30% |
| Luster vs Reina | 351–332–1 | 51.39% |
| Luster vs King | 367–269 | 57.70% |
| Luster vs Steve | 314–315 | 49.92% |
| Luster vs Dragunov | 315–307 | 50.64% |
| Luster vs Law | 306–283 | 51.95% |
| Luster vs Lee | 309–255 | 54.79% |
| Luster vs Lili | 293–269 | 52.14% |
| Luster vs Paul | 262–276 | 48.70% |
| Luster vs Azucena | 289–249 | 53.72% |
| Luster vs Lars | 238–260 | 47.79% |
| Luster vs Devil Jin | 231–255 | 47.53% |
| Luster vs Jun | 256–216 | 54.24% |
| Luster vs Feng | 252–216 | 53.85% |
| Luster vs Heihachi | 195–260 | 42.86% |
| Luster vs Leo | 216–235 | 47.89% |
| Luster vs Asuka | 224–217 | 50.79% |
| Luster vs Xiaoyu | 226–193 | 53.94% |
| Luster vs Jack-8 | 198–208 | 48.77% |
| Luster vs Raven | 180–193 | 48.26% |
| Luster vs Zafina | 191–179 | 51.62% |
| Luster vs Nina | 169–167 | 50.30% |
| Luster vs Alisa | 180–153 | 54.05% |
| Luster vs Leroy | 134–188 | 41.61% |
| Luster vs Lidia | 149–152 | 49.50% |
| Luster vs Eddy | 180–120 | 60.00% |
| Luster vs Victor | 122–158 | 43.57% |
| Luster vs Claudio | 122–117 | 51.05% |
| Luster vs Shaheen | 98–104 | 48.51% |
| Luster vs Kuma | 93–78 | 54.39% |
| Luster vs Anna | 80–86 | 48.19% |
| Luster vs Armor King | 71–94 | 43.03% |
| Luster vs Clive | 63–75 | 45.65% |
| Luster vs Panda | 54–69 | 43.90% |
| Luster vs Fahkumram | 35–53 | 39.77% |
| Luster vs Miary Zo | 36–36 | 50.00% |
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.