| nerf6307 vs Kazuya | 366–291 | 55.71% |
| nerf6307 vs Hwoarang | 314–260 | 54.70% |
| nerf6307 vs Dragunov | 273–298 | 47.81% |
| nerf6307 vs Bryan | 302–265 | 53.26% |
| nerf6307 vs Paul | 311–253 | 55.14% |
| nerf6307 vs Jin | 211–279 | 43.06% |
| nerf6307 vs Heihachi | 248–204 | 54.87% |
| nerf6307 vs King | 199–197 | 50.25% |
| nerf6307 vs Steve | 173–190 | 47.66% |
| nerf6307 vs Asuka | 210–140 | 60.00% |
| nerf6307 vs Reina | 162–182 | 47.09% |
| nerf6307 vs Jack-8 | 172–156 | 52.44% |
| nerf6307 vs Lars | 158–163 | 49.22% |
| nerf6307 vs Jun | 156–146 | 51.66% |
| nerf6307 vs Lili | 135–153 | 46.88% |
| nerf6307 vs Law | 145–142 | 50.52% |
| nerf6307 vs Devil Jin | 123–144–1 | 46.07% |
| nerf6307 vs Lidia | 127–138 | 47.92% |
| nerf6307 vs Victor | 129–134 | 49.05% |
| nerf6307 vs Claudio | 139–105 | 56.97% |
| nerf6307 vs Feng | 100–117 | 46.08% |
| nerf6307 vs Yoshimitsu | 96–110 | 46.60% |
| nerf6307 vs Lee | 87–110 | 44.16% |
| nerf6307 vs Leroy | 98–96–1 | 50.52% |
| nerf6307 vs Azucena | 89–103 | 46.35% |
| nerf6307 vs Nina | 102–85 | 54.55% |
| nerf6307 vs Alisa | 83–96 | 46.37% |
| nerf6307 vs Anna | 83–82 | 50.30% |
| nerf6307 vs Leo | 63–90 | 41.18% |
| nerf6307 vs Xiaoyu | 66–77 | 46.15% |
| nerf6307 vs Clive | 50–73 | 40.65% |
| nerf6307 vs Fahkumram | 50–64 | 43.86% |
| nerf6307 vs Shaheen | 50–60 | 45.45% |
| nerf6307 vs Kuma | 53–55 | 49.07% |
| nerf6307 vs Eddy | 36–65 | 35.64% |
| nerf6307 vs Armor King | 46–46 | 50.00% |
| nerf6307 vs Raven | 36–53 | 40.45% |
| nerf6307 vs Zafina | 36–42 | 46.15% |
| nerf6307 vs Panda | 24–46 | 34.29% |
| nerf6307 vs Miary Zo | 27–24 | 52.94% |
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.