| Lhomh vs Kazuya | 424–382 | 52.61% |
| Lhomh vs Jin | 418–384 | 52.12% |
| Lhomh vs Hwoarang | 363–370 | 49.52% |
| Lhomh vs Bryan | 352–337 | 51.09% |
| Lhomh vs Yoshimitsu | 371–269 | 57.97% |
| Lhomh vs King | 331–291 | 53.22% |
| Lhomh vs Reina | 278–267–1 | 51.01% |
| Lhomh vs Heihachi | 270–272 | 49.82% |
| Lhomh vs Lee | 249–226 | 52.42% |
| Lhomh vs Dragunov | 238–235 | 50.32% |
| Lhomh vs Steve | 244–219 | 52.70% |
| Lhomh vs Devil Jin | 235–220 | 51.65% |
| Lhomh vs Paul | 209–226 | 48.05% |
| Lhomh vs Law | 210–222 | 48.61% |
| Lhomh vs Lili | 201–214 | 48.43% |
| Lhomh vs Lars | 191–217 | 46.81% |
| Lhomh vs Feng | 180–217 | 45.34% |
| Lhomh vs Xiaoyu | 218–157 | 58.13% |
| Lhomh vs Raven | 161–192 | 45.61% |
| Lhomh vs Alisa | 179–154 | 53.75% |
| Lhomh vs Azucena | 154–165 | 48.28% |
| Lhomh vs Asuka | 149–164 | 47.60% |
| Lhomh vs Anna | 174–136 | 56.13% |
| Lhomh vs Zafina | 146–161–1 | 47.56% |
| Lhomh vs Victor | 140–158 | 46.98% |
| Lhomh vs Claudio | 136–159 | 46.10% |
| Lhomh vs Jun | 126–148 | 45.99% |
| Lhomh vs Leo | 134–138 | 49.26% |
| Lhomh vs Leroy | 151–120 | 55.72% |
| Lhomh vs Lidia | 142–129 | 52.40% |
| Lhomh vs Jack-8 | 128–141 | 47.58% |
| Lhomh vs Nina | 115–126 | 47.72% |
| Lhomh vs Eddy | 105–130 | 44.68% |
| Lhomh vs Shaheen | 98–95 | 50.78% |
| Lhomh vs Clive | 76–109 | 41.08% |
| Lhomh vs Fahkumram | 69–104 | 39.88% |
| Lhomh vs Armor King | 81–91 | 47.09% |
| Lhomh vs Kuma | 85–75 | 53.12% |
| Lhomh vs Panda | 50–58 | 46.30% |
| Lhomh vs Miary Zo | 17–14 | 54.84% |
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.