| lum_bia vs Jin | 636–517 | 55.16% |
| lum_bia vs Bryan | 457–462–1 | 49.73% |
| lum_bia vs King | 380–486 | 43.88% |
| lum_bia vs Dragunov | 424–415 | 50.54% |
| lum_bia vs Hwoarang | 468–369 | 55.91% |
| lum_bia vs Lili | 411–317 | 56.46% |
| lum_bia vs Law | 351–355 | 49.72% |
| lum_bia vs Kazuya | 321–312 | 50.71% |
| lum_bia vs Yoshimitsu | 329–298–1 | 52.47% |
| lum_bia vs Devil Jin | 265–307 | 46.33% |
| lum_bia vs Steve | 278–292 | 48.77% |
| lum_bia vs Xiaoyu | 320–243 | 56.84% |
| lum_bia vs Eddy | 308–248 | 55.40% |
| lum_bia vs Shaheen | 248–302 | 45.09% |
| lum_bia vs Feng | 253–277 | 47.74% |
| lum_bia vs Jun | 275–247 | 52.68% |
| lum_bia vs Lars | 274–232 | 54.15% |
| lum_bia vs Victor | 232–262 | 46.96% |
| lum_bia vs Lee | 228–261 | 46.63% |
| lum_bia vs Reina | 271–216–1 | 55.65% |
| lum_bia vs Alisa | 229–249 | 47.91% |
| lum_bia vs Leo | 242–225 | 51.82% |
| lum_bia vs Asuka | 197–240 | 45.08% |
| lum_bia vs Jack-8 | 212–200 | 51.46% |
| lum_bia vs Claudio | 220–189 | 53.79% |
| lum_bia vs Raven | 175–226 | 43.64% |
| lum_bia vs Paul | 194–196 | 49.74% |
| lum_bia vs Heihachi | 174–201 | 46.40% |
| lum_bia vs Azucena | 152–199 | 43.30% |
| lum_bia vs Zafina | 178–149 | 54.43% |
| lum_bia vs Nina | 179–137 | 56.65% |
| lum_bia vs Lidia | 139–154 | 47.44% |
| lum_bia vs Kuma | 137–154 | 47.08% |
| lum_bia vs Leroy | 154–134 | 53.47% |
| lum_bia vs Anna | 131–109–1 | 54.58% |
| lum_bia vs Armor King | 66–135 | 32.84% |
| lum_bia vs Clive | 71–123 | 36.60% |
| lum_bia vs Fahkumram | 81–112 | 41.97% |
| lum_bia vs Panda | 74–76 | 49.33% |
| lum_bia vs Miary Zo | 12–29 | 29.27% |
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.