| Ahnjaemo vs Paul | 290–308 | 48.49% |
| Ahnjaemo vs King | 268–301 | 47.10% |
| Ahnjaemo vs Kazuya | 225–280 | 44.55% |
| Ahnjaemo vs Hwoarang | 226–276 | 45.02% |
| Ahnjaemo vs Jin | 249–248 | 50.10% |
| Ahnjaemo vs Law | 232–247 | 48.43% |
| Ahnjaemo vs Asuka | 202–263 | 43.44% |
| Ahnjaemo vs Lili | 226–229 | 49.67% |
| Ahnjaemo vs Dragunov | 198–223 | 47.03% |
| Ahnjaemo vs Bryan | 144–234 | 38.10% |
| Ahnjaemo vs Xiaoyu | 189–175 | 51.92% |
| Ahnjaemo vs Reina | 183–174 | 51.26% |
| Ahnjaemo vs Steve | 143–187 | 43.33% |
| Ahnjaemo vs Lidia | 158–136 | 53.74% |
| Ahnjaemo vs Yoshimitsu | 147–136 | 51.94% |
| Ahnjaemo vs Nina | 129–154 | 45.58% |
| Ahnjaemo vs Feng | 104–170–1 | 37.96% |
| Ahnjaemo vs Victor | 116–134 | 46.40% |
| Ahnjaemo vs Alisa | 102–145 | 41.30% |
| Ahnjaemo vs Jun | 124–117 | 51.45% |
| Ahnjaemo vs Lee | 101–134 | 42.98% |
| Ahnjaemo vs Azucena | 107–105 | 50.47% |
| Ahnjaemo vs Lars | 97–112 | 46.41% |
| Ahnjaemo vs Heihachi | 83–126 | 39.71% |
| Ahnjaemo vs Leo | 109–99 | 52.40% |
| Ahnjaemo vs Eddy | 80–126 | 38.83% |
| Ahnjaemo vs Devil Jin | 86–99 | 46.49% |
| Ahnjaemo vs Clive | 70–105 | 40.00% |
| Ahnjaemo vs Jack-8 | 84–89 | 48.55% |
| Ahnjaemo vs Claudio | 72–97 | 42.60% |
| Ahnjaemo vs Leroy | 63–81 | 43.75% |
| Ahnjaemo vs Kuma | 51–70 | 42.15% |
| Ahnjaemo vs Armor King | 53–68 | 43.80% |
| Ahnjaemo vs Raven | 51–66 | 43.59% |
| Ahnjaemo vs Zafina | 46–67 | 40.71% |
| Ahnjaemo vs Anna | 50–57 | 46.73% |
| Ahnjaemo vs Shaheen | 39–57 | 40.62% |
| Ahnjaemo vs Fahkumram | 40–52 | 43.48% |
| Ahnjaemo vs Panda | 18–24 | 42.86% |
| Ahnjaemo vs Miary Zo | 7–12 | 36.84% |
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.