| ANIMATOR vs Kazuya | 1095–1025–1 | 51.65% |
| ANIMATOR vs Bryan | 1011–1040 | 49.29% |
| ANIMATOR vs King | 1002–956 | 51.17% |
| ANIMATOR vs Jin | 817–835 | 49.46% |
| ANIMATOR vs Paul | 776–749 | 50.89% |
| ANIMATOR vs Dragunov | 741–710–1 | 51.07% |
| ANIMATOR vs Heihachi | 527–587–1 | 47.31% |
| ANIMATOR vs Law | 567–525 | 51.92% |
| ANIMATOR vs Hwoarang | 449–387 | 53.71% |
| ANIMATOR vs Steve | 420–395 | 51.53% |
| ANIMATOR vs Yoshimitsu | 349–421 | 45.32% |
| ANIMATOR vs Devil Jin | 368–383 | 49.00% |
| ANIMATOR vs Reina | 353–365 | 49.16% |
| ANIMATOR vs Nina | 302–332 | 47.63% |
| ANIMATOR vs Feng | 244–342–1 | 41.64% |
| ANIMATOR vs Victor | 270–317 | 46.00% |
| ANIMATOR vs Clive | 297–274 | 52.01% |
| ANIMATOR vs Asuka | 231–245 | 48.53% |
| ANIMATOR vs Claudio | 185–274 | 40.31% |
| ANIMATOR vs Armor King | 209–236 | 46.97% |
| ANIMATOR vs Jun | 216–210 | 50.70% |
| ANIMATOR vs Lili | 195–230 | 45.88% |
| ANIMATOR vs Lee | 190–225 | 45.78% |
| ANIMATOR vs Eddy | 193–211 | 47.77% |
| ANIMATOR vs Azucena | 194–202 | 48.99% |
| ANIMATOR vs Alisa | 135–240 | 36.00% |
| ANIMATOR vs Lars | 200–171 | 53.91% |
| ANIMATOR vs Lidia | 171–195 | 46.72% |
| ANIMATOR vs Anna | 132–178 | 42.58% |
| ANIMATOR vs Leroy | 114–190 | 37.50% |
| ANIMATOR vs Shaheen | 111–192 | 36.63% |
| ANIMATOR vs Xiaoyu | 136–159 | 46.10% |
| ANIMATOR vs Leo | 126–137 | 47.91% |
| ANIMATOR vs Raven | 135–118 | 53.36% |
| ANIMATOR vs Fahkumram | 112–140 | 44.44% |
| ANIMATOR vs Zafina | 99–139 | 41.60% |
| ANIMATOR vs Jack-8 | 82–136 | 37.61% |
| ANIMATOR vs Kuma | 53–89 | 37.32% |
| ANIMATOR vs Miary Zo | 56–59 | 48.70% |
| ANIMATOR vs Panda | 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.