| LUNCH vs Kazuya | 168–192 | 46.67% |
| LUNCH vs Bryan | 151–191 | 44.15% |
| LUNCH vs Hwoarang | 144–197 | 42.23% |
| LUNCH vs Jin | 157–177 | 47.01% |
| LUNCH vs Dragunov | 139–181 | 43.44% |
| LUNCH vs Reina | 149–168 | 47.00% |
| LUNCH vs Paul | 160–145 | 52.46% |
| LUNCH vs King | 144–122 | 54.14% |
| LUNCH vs Lili | 101–143 | 41.39% |
| LUNCH vs Asuka | 95–128 | 42.60% |
| LUNCH vs Steve | 90–109 | 45.23% |
| LUNCH vs Jun | 91–104 | 46.67% |
| LUNCH vs Victor | 86–101 | 45.99% |
| LUNCH vs Nina | 89–82 | 52.05% |
| LUNCH vs Lee | 84–87 | 49.12% |
| LUNCH vs Azucena | 90–75 | 54.55% |
| LUNCH vs Law | 88–76 | 53.66% |
| LUNCH vs Devil Jin | 71–88 | 44.65% |
| LUNCH vs Xiaoyu | 81–75 | 51.92% |
| LUNCH vs Feng | 66–90 | 42.31% |
| LUNCH vs Heihachi | 79–76 | 50.97% |
| LUNCH vs Claudio | 72–81 | 47.06% |
| LUNCH vs Yoshimitsu | 73–75 | 49.32% |
| LUNCH vs Lidia | 66–79 | 45.52% |
| LUNCH vs Fahkumram | 45–92 | 32.85% |
| LUNCH vs Lars | 61–69 | 46.92% |
| LUNCH vs Alisa | 58–67 | 46.40% |
| LUNCH vs Leo | 55–69 | 44.35% |
| LUNCH vs Eddy | 46–68 | 40.35% |
| LUNCH vs Jack-8 | 47–66 | 41.59% |
| LUNCH vs Shaheen | 38–65 | 36.89% |
| LUNCH vs Leroy | 48–55 | 46.60% |
| LUNCH vs Armor King | 44–48 | 47.83% |
| LUNCH vs Anna | 46–38 | 54.76% |
| LUNCH vs Kuma | 33–43 | 43.42% |
| LUNCH vs Clive | 34–36 | 48.57% |
| LUNCH vs Raven | 27–40 | 40.30% |
| LUNCH vs Miary Zo | 25–26 | 49.02% |
| LUNCH vs Zafina | 23–21 | 52.27% |
| LUNCH vs Panda | 16–22 | 42.11% |
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.