| Llitos vs King | 351–413 | 45.94% |
| Llitos vs Kazuya | 357–401 | 47.10% |
| Llitos vs Reina | 297–355 | 45.55% |
| Llitos vs Bryan | 303–334 | 47.57% |
| Llitos vs Jin | 267–302 | 46.92% |
| Llitos vs Steve | 237–271 | 46.65% |
| Llitos vs Dragunov | 193–221 | 46.62% |
| Llitos vs Hwoarang | 140–250 | 35.90% |
| Llitos vs Paul | 154–214 | 41.85% |
| Llitos vs Lili | 171–197 | 46.47% |
| Llitos vs Law | 133–218 | 37.89% |
| Llitos vs Lee | 151–189 | 44.41% |
| Llitos vs Heihachi | 137–201 | 40.53% |
| Llitos vs Azucena | 141–162 | 46.53% |
| Llitos vs Jun | 138–164 | 45.70% |
| Llitos vs Yoshimitsu | 105–191 | 35.47% |
| Llitos vs Asuka | 105–168 | 38.46% |
| Llitos vs Xiaoyu | 103–141 | 42.21% |
| Llitos vs Lars | 103–128 | 44.59% |
| Llitos vs Eddy | 77–141 | 35.32% |
| Llitos vs Devil Jin | 91–118 | 43.54% |
| Llitos vs Victor | 81–116 | 41.12% |
| Llitos vs Nina | 69–114 | 37.70% |
| Llitos vs Lidia | 92–91 | 50.27% |
| Llitos vs Leo | 88–86 | 50.57% |
| Llitos vs Feng | 59–103 | 36.42% |
| Llitos vs Alisa | 67–95 | 41.36% |
| Llitos vs Fahkumram | 71–79 | 47.33% |
| Llitos vs Jack-8 | 46–84 | 35.38% |
| Llitos vs Leroy | 38–79 | 32.48% |
| Llitos vs Clive | 49–65 | 42.98% |
| Llitos vs Raven | 36–76 | 32.14% |
| Llitos vs Claudio | 45–59 | 43.27% |
| Llitos vs Armor King | 48–53 | 47.52% |
| Llitos vs Kuma | 31–62 | 33.33% |
| Llitos vs Shaheen | 40–47 | 45.98% |
| Llitos vs Anna | 43–35 | 55.13% |
| Llitos vs Zafina | 26–46 | 36.11% |
| Llitos vs Panda | 21–21 | 50.00% |
| Llitos vs Miary Zo | 3–5 | 37.50% |
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.