| Arctoros vs Kazuya | 341–349 | 49.42% |
| Arctoros vs Jin | 325–320 | 50.39% |
| Arctoros vs Bryan | 280–322 | 46.51% |
| Arctoros vs Hwoarang | 288–259 | 52.65% |
| Arctoros vs King | 253–214 | 54.18% |
| Arctoros vs Paul | 214–231 | 48.09% |
| Arctoros vs Steve | 206–235 | 46.71% |
| Arctoros vs Yoshimitsu | 237–163 | 59.25% |
| Arctoros vs Reina | 228–171 | 57.14% |
| Arctoros vs Law | 200–178 | 52.91% |
| Arctoros vs Devil Jin | 163–173 | 48.51% |
| Arctoros vs Heihachi | 148–188 | 44.05% |
| Arctoros vs Dragunov | 153–182 | 45.67% |
| Arctoros vs Lee | 155–163 | 48.74% |
| Arctoros vs Lili | 151–166 | 47.63% |
| Arctoros vs Lars | 115–141 | 44.92% |
| Arctoros vs Asuka | 112–108 | 50.91% |
| Arctoros vs Feng | 111–106 | 51.15% |
| Arctoros vs Eddy | 115–98 | 53.99% |
| Arctoros vs Jun | 109–101 | 51.90% |
| Arctoros vs Xiaoyu | 95–109 | 46.57% |
| Arctoros vs Azucena | 90–110 | 45.00% |
| Arctoros vs Victor | 98–96 | 50.52% |
| Arctoros vs Nina | 69–100 | 40.83% |
| Arctoros vs Clive | 78–90 | 46.43% |
| Arctoros vs Alisa | 77–84 | 47.83% |
| Arctoros vs Raven | 68–86 | 44.16% |
| Arctoros vs Leroy | 64–85 | 42.95% |
| Arctoros vs Jack-8 | 53–89 | 37.32% |
| Arctoros vs Leo | 62–72 | 46.27% |
| Arctoros vs Armor King | 48–83 | 36.64% |
| Arctoros vs Lidia | 54–71 | 43.20% |
| Arctoros vs Claudio | 63–58 | 52.07% |
| Arctoros vs Anna | 38–58 | 39.58% |
| Arctoros vs Shaheen | 41–50 | 45.05% |
| Arctoros vs Fahkumram | 38–48 | 44.19% |
| Arctoros vs Kuma | 35–47 | 42.68% |
| Arctoros vs Zafina | 32–44 | 42.11% |
| Arctoros vs Panda | 19–32 | 37.25% |
| Arctoros vs Miary Zo | 20–20 | 50.00% |
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.