| ARROW vs Bryan | 422–436 | 49.18% |
| ARROW vs Hwoarang | 378–329 | 53.47% |
| ARROW vs Dragunov | 366–282 | 56.48% |
| ARROW vs Kazuya | 331–302 | 52.29% |
| ARROW vs Jin | 305–307 | 49.84% |
| ARROW vs Heihachi | 282–270 | 51.09% |
| ARROW vs King | 263–288 | 47.73% |
| ARROW vs Steve | 246–244 | 50.20% |
| ARROW vs Lars | 229–238 | 49.04% |
| ARROW vs Asuka | 196–268 | 42.24% |
| ARROW vs Paul | 228–233 | 49.46% |
| ARROW vs Yoshimitsu | 208–248 | 45.61% |
| ARROW vs Law | 241–196 | 55.15% |
| ARROW vs Victor | 185–237 | 43.84% |
| ARROW vs Reina | 207–214 | 49.17% |
| ARROW vs Devil Jin | 202–202 | 50.00% |
| ARROW vs Jack-8 | 162–211 | 43.43% |
| ARROW vs Azucena | 196–177 | 52.55% |
| ARROW vs Lili | 174–188 | 48.07% |
| ARROW vs Lee | 190–170 | 52.78% |
| ARROW vs Jun | 133–189 | 41.30% |
| ARROW vs Feng | 141–178 | 44.20% |
| ARROW vs Nina | 181–134 | 57.46% |
| ARROW vs Xiaoyu | 145–161 | 47.39% |
| ARROW vs Anna | 139–158 | 46.80% |
| ARROW vs Clive | 135–153 | 46.88% |
| ARROW vs Eddy | 131–142 | 47.99% |
| ARROW vs Claudio | 79–187 | 29.70% |
| ARROW vs Leroy | 132–132 | 50.00% |
| ARROW vs Lidia | 132–131 | 50.19% |
| ARROW vs Leo | 126–135–1 | 48.28% |
| ARROW vs Shaheen | 131–121 | 51.98% |
| ARROW vs Alisa | 111–130 | 46.06% |
| ARROW vs Raven | 95–118 | 44.60% |
| ARROW vs Armor King | 103–106 | 49.28% |
| ARROW vs Fahkumram | 108–89 | 54.82% |
| ARROW vs Kuma | 76–93 | 44.97% |
| ARROW vs Zafina | 64–97 | 39.75% |
| ARROW vs Miary Zo | 40–58 | 40.82% |
| ARROW vs Panda | 40–55 | 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.