| Ajahn vs Kazuya | 258–222 | 53.75% |
| Ajahn vs Jin | 248–204–1 | 54.87% |
| Ajahn vs Bryan | 219–222 | 49.66% |
| Ajahn vs King | 211–195 | 51.97% |
| Ajahn vs Steve | 210–167 | 55.70% |
| Ajahn vs Reina | 191–153 | 55.52% |
| Ajahn vs Hwoarang | 142–163 | 46.56% |
| Ajahn vs Lili | 140–154 | 47.62% |
| Ajahn vs Paul | 159–122 | 56.58% |
| Ajahn vs Law | 127–152 | 45.52% |
| Ajahn vs Yoshimitsu | 123–137 | 47.31% |
| Ajahn vs Dragunov | 137–115 | 54.37% |
| Ajahn vs Lee | 101–138 | 42.26% |
| Ajahn vs Jun | 95–131 | 42.04% |
| Ajahn vs Asuka | 107–110 | 49.31% |
| Ajahn vs Devil Jin | 111–103 | 51.87% |
| Ajahn vs Xiaoyu | 83–130 | 38.97% |
| Ajahn vs Nina | 99–114 | 46.48% |
| Ajahn vs Lars | 102–107 | 48.80% |
| Ajahn vs Heihachi | 95–111 | 46.12% |
| Ajahn vs Azucena | 99–104 | 48.77% |
| Ajahn vs Lidia | 78–80 | 49.37% |
| Ajahn vs Victor | 73–80 | 47.71% |
| Ajahn vs Feng | 76–75 | 50.33% |
| Ajahn vs Leo | 61–89 | 40.67% |
| Ajahn vs Raven | 73–72 | 50.34% |
| Ajahn vs Clive | 56–64 | 46.67% |
| Ajahn vs Jack-8 | 45–73 | 38.14% |
| Ajahn vs Claudio | 38–67 | 36.19% |
| Ajahn vs Armor King | 51–50 | 50.50% |
| Ajahn vs Eddy | 41–57 | 41.84% |
| Ajahn vs Alisa | 32–64 | 33.33% |
| Ajahn vs Anna | 41–51 | 44.57% |
| Ajahn vs Shaheen | 44–34 | 56.41% |
| Ajahn vs Leroy | 35–39 | 47.30% |
| Ajahn vs Kuma | 38–34 | 52.78% |
| Ajahn vs Zafina | 18–52 | 25.71% |
| Ajahn vs Fahkumram | 24–25 | 48.98% |
| Ajahn vs Miary Zo | 13–13 | 50.00% |
| Ajahn vs Panda | 10–12 | 45.45% |
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.