| am1nra_tk vs King | 340–301 | 53.04% |
| am1nra_tk vs Jin | 331–288 | 53.47% |
| am1nra_tk vs Kazuya | 323–285 | 53.12% |
| am1nra_tk vs Bryan | 302–237 | 56.03% |
| am1nra_tk vs Hwoarang | 252–250 | 50.20% |
| am1nra_tk vs Dragunov | 243–202 | 54.61% |
| am1nra_tk vs Heihachi | 193–202 | 48.86% |
| am1nra_tk vs Devil Jin | 179–192 | 48.25% |
| am1nra_tk vs Lili | 169–194 | 46.56% |
| am1nra_tk vs Steve | 199–151 | 56.86% |
| am1nra_tk vs Law | 196–138 | 58.68% |
| am1nra_tk vs Lee | 173–145 | 54.40% |
| am1nra_tk vs Paul | 181–134 | 57.46% |
| am1nra_tk vs Feng | 154–160 | 49.04% |
| am1nra_tk vs Yoshimitsu | 126–163 | 43.60% |
| am1nra_tk vs Lars | 120–131 | 47.81% |
| am1nra_tk vs Reina | 117–134 | 46.61% |
| am1nra_tk vs Jack-8 | 103–147 | 41.20% |
| am1nra_tk vs Claudio | 144–89 | 61.80% |
| am1nra_tk vs Clive | 118–104 | 53.15% |
| am1nra_tk vs Anna | 95–126 | 42.99% |
| am1nra_tk vs Alisa | 116–96 | 54.72% |
| am1nra_tk vs Armor King | 96–115 | 45.50% |
| am1nra_tk vs Asuka | 117–82 | 58.79% |
| am1nra_tk vs Nina | 119–73 | 61.98% |
| am1nra_tk vs Lidia | 68–104 | 39.53% |
| am1nra_tk vs Victor | 95–76 | 55.56% |
| am1nra_tk vs Shaheen | 84–83 | 50.30% |
| am1nra_tk vs Eddy | 95–62 | 60.51% |
| am1nra_tk vs Leroy | 85–70 | 54.84% |
| am1nra_tk vs Leo | 69–76 | 47.59% |
| am1nra_tk vs Jun | 71–68 | 51.08% |
| am1nra_tk vs Azucena | 60–75 | 44.44% |
| am1nra_tk vs Raven | 67–58 | 53.60% |
| am1nra_tk vs Fahkumram | 62–63 | 49.60% |
| am1nra_tk vs Zafina | 57–61 | 48.31% |
| am1nra_tk vs Xiaoyu | 51–64 | 44.35% |
| am1nra_tk vs Kuma | 53–62 | 46.09% |
| am1nra_tk vs Panda | 13–17 | 43.33% |
| am1nra_tk vs Miary Zo | 10–20 | 33.33% |
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.