| 6387山中 vs Kazuya | 344–412 | 45.50% |
| 6387山中 vs Jin | 255–382 | 40.03% |
| 6387山中 vs Dragunov | 243–366 | 39.90% |
| 6387山中 vs King | 283–315 | 47.32% |
| 6387山中 vs Reina | 244–316 | 43.57% |
| 6387山中 vs Bryan | 251–286 | 46.74% |
| 6387山中 vs Paul | 250–253 | 49.70% |
| 6387山中 vs Heihachi | 194–290 | 40.08% |
| 6387山中 vs Asuka | 179–250 | 41.72% |
| 6387山中 vs Lili | 165–235 | 41.25% |
| 6387山中 vs Hwoarang | 157–235 | 40.05% |
| 6387山中 vs Steve | 171–216 | 44.19% |
| 6387山中 vs Law | 186–183 | 50.41% |
| 6387山中 vs Jun | 129–181 | 41.61% |
| 6387山中 vs Victor | 122–175 | 41.08% |
| 6387山中 vs Yoshimitsu | 115–181 | 38.85% |
| 6387山中 vs Lidia | 120–176 | 40.54% |
| 6387山中 vs Anna | 120–169 | 41.52% |
| 6387山中 vs Azucena | 104–148 | 41.27% |
| 6387山中 vs Devil Jin | 84–163 | 34.01% |
| 6387山中 vs Feng | 88–155 | 36.21% |
| 6387山中 vs Lars | 74–163 | 31.22% |
| 6387山中 vs Xiaoyu | 88–146 | 37.61% |
| 6387山中 vs Fahkumram | 105–120 | 46.67% |
| 6387山中 vs Armor King | 92–110 | 45.54% |
| 6387山中 vs Lee | 83–118 | 41.29% |
| 6387山中 vs Eddy | 86–112 | 43.43% |
| 6387山中 vs Alisa | 81–115 | 41.33% |
| 6387山中 vs Nina | 84–105 | 44.44% |
| 6387山中 vs Leo | 71–105 | 40.34% |
| 6387山中 vs Jack-8 | 57–105 | 35.19% |
| 6387山中 vs Claudio | 55–106 | 34.16% |
| 6387山中 vs Clive | 64–91 | 41.29% |
| 6387山中 vs Leroy | 66–87 | 43.14% |
| 6387山中 vs Miary Zo | 54–74 | 42.19% |
| 6387山中 vs Shaheen | 45–77 | 36.89% |
| 6387山中 vs Kuma | 35–69 | 33.65% |
| 6387山中 vs Zafina | 44–60 | 42.31% |
| 6387山中 vs Raven | 38–50 | 43.18% |
| 6387山中 vs Panda | 22–46 | 32.35% |
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.