| aikawa vs Dragunov | 213–252–1 | 45.81% |
| aikawa vs Bryan | 233–225 | 50.87% |
| aikawa vs King | 213–240 | 47.02% |
| aikawa vs Reina | 238–201 | 54.21% |
| aikawa vs Hwoarang | 184–230 | 44.44% |
| aikawa vs Paul | 188–207 | 47.59% |
| aikawa vs Kazuya | 212–180 | 54.08% |
| aikawa vs Jin | 169–199 | 45.92% |
| aikawa vs Steve | 182–178 | 50.56% |
| aikawa vs Lili | 187–169 | 52.53% |
| aikawa vs Asuka | 144–158 | 47.68% |
| aikawa vs Jun | 158–127 | 55.44% |
| aikawa vs Victor | 137–145 | 48.58% |
| aikawa vs Law | 140–136 | 50.72% |
| aikawa vs Lars | 110–150 | 42.31% |
| aikawa vs Yoshimitsu | 106–147 | 41.90% |
| aikawa vs Azucena | 119–118 | 50.21% |
| aikawa vs Nina | 98–138 | 41.53% |
| aikawa vs Lee | 94–128 | 42.34% |
| aikawa vs Feng | 107–114 | 48.42% |
| aikawa vs Alisa | 94–120 | 43.93% |
| aikawa vs Xiaoyu | 98–110 | 47.12% |
| aikawa vs Eddy | 88–106 | 45.36% |
| aikawa vs Claudio | 101–90 | 52.88% |
| aikawa vs Leo | 86–101 | 45.99% |
| aikawa vs Jack-8 | 94–92 | 50.54% |
| aikawa vs Devil Jin | 79–106–1 | 42.70% |
| aikawa vs Heihachi | 95–81 | 53.98% |
| aikawa vs Leroy | 56–108 | 34.15% |
| aikawa vs Clive | 72–80 | 47.37% |
| aikawa vs Lidia | 70–73 | 48.95% |
| aikawa vs Zafina | 63–71 | 47.01% |
| aikawa vs Shaheen | 50–69 | 42.02% |
| aikawa vs Kuma | 48–61 | 44.04% |
| aikawa vs Fahkumram | 54–47 | 53.47% |
| aikawa vs Raven | 46–50 | 47.92% |
| aikawa vs Anna | 37–26 | 58.73% |
| aikawa vs Panda | 25–36 | 40.98% |
| aikawa vs Armor King | 30–30 | 50.00% |
| aikawa vs Miary Zo | 26–34 | 43.33% |
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.