| Apakat vs Kazuya | 478–477 | 50.05% |
| Apakat vs Hwoarang | 318–285 | 52.74% |
| Apakat vs Bryan | 303–251–1 | 54.69% |
| Apakat vs Jin | 296–249 | 54.31% |
| Apakat vs Steve | 216–236 | 47.79% |
| Apakat vs King | 264–179 | 59.59% |
| Apakat vs Law | 251–188 | 57.18% |
| Apakat vs Heihachi | 204–206–1 | 49.76% |
| Apakat vs Devil Jin | 220–182 | 54.73% |
| Apakat vs Lee | 188–199 | 48.58% |
| Apakat vs Reina | 219–150–1 | 59.35% |
| Apakat vs Dragunov | 193–173 | 52.73% |
| Apakat vs Nina | 143–166 | 46.28% |
| Apakat vs Feng | 158–133 | 54.30% |
| Apakat vs Paul | 149–130 | 53.41% |
| Apakat vs Lars | 135–144 | 48.39% |
| Apakat vs Lili | 152–114 | 57.14% |
| Apakat vs Yoshimitsu | 120–141 | 45.98% |
| Apakat vs Jun | 114–132 | 46.34% |
| Apakat vs Claudio | 135–83 | 61.93% |
| Apakat vs Asuka | 95–118 | 44.60% |
| Apakat vs Victor | 114–93 | 55.07% |
| Apakat vs Raven | 99–104 | 48.77% |
| Apakat vs Lidia | 99–104 | 48.77% |
| Apakat vs Alisa | 107–93–1 | 53.50% |
| Apakat vs Jack-8 | 83–93 | 47.16% |
| Apakat vs Shaheen | 85–91 | 48.30% |
| Apakat vs Zafina | 76–94 | 44.71% |
| Apakat vs Armor King | 103–67 | 60.59% |
| Apakat vs Leo | 87–80 | 52.10% |
| Apakat vs Eddy | 74–83 | 47.13% |
| Apakat vs Clive | 76–80 | 48.72% |
| Apakat vs Azucena | 66–76 | 46.48% |
| Apakat vs Leroy | 53–73 | 42.06% |
| Apakat vs Xiaoyu | 50–75 | 40.00% |
| Apakat vs Anna | 56–49 | 53.33% |
| Apakat vs Kuma | 30–58 | 34.09% |
| Apakat vs Fahkumram | 45–42 | 51.72% |
| Apakat vs Panda | 24–19 | 55.81% |
| Apakat vs Miary Zo | 8–12 | 40.00% |
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.