| amtilb_ vs Kazuya | 230–192 | 54.50% |
| amtilb_ vs Jin | 185–162 | 53.31% |
| amtilb_ vs Bryan | 137–147 | 48.24% |
| amtilb_ vs Hwoarang | 99–131 | 43.04% |
| amtilb_ vs Reina | 107–117 | 47.77% |
| amtilb_ vs Steve | 120–100 | 54.55% |
| amtilb_ vs Armor King | 109–101 | 51.90% |
| amtilb_ vs Paul | 79–124 | 38.92% |
| amtilb_ vs Law | 97–95 | 50.52% |
| amtilb_ vs King | 90–94 | 48.91% |
| amtilb_ vs Heihachi | 84–87 | 49.12% |
| amtilb_ vs Lili | 84–77 | 52.17% |
| amtilb_ vs Devil Jin | 78–61 | 56.12% |
| amtilb_ vs Fahkumram | 73–60 | 54.89% |
| amtilb_ vs Yoshimitsu | 58–73 | 44.27% |
| amtilb_ vs Dragunov | 57–68 | 45.60% |
| amtilb_ vs Lee | 53–69 | 43.44% |
| amtilb_ vs Eddy | 46–73 | 38.66% |
| amtilb_ vs Feng | 46–67 | 40.71% |
| amtilb_ vs Lars | 50–60 | 45.45% |
| amtilb_ vs Alisa | 51–57 | 47.22% |
| amtilb_ vs Asuka | 45–53 | 45.92% |
| amtilb_ vs Azucena | 43–55 | 43.88% |
| amtilb_ vs Nina | 46–50 | 47.92% |
| amtilb_ vs Jun | 50–43 | 53.76% |
| amtilb_ vs Victor | 32–48 | 40.00% |
| amtilb_ vs Anna | 34–45 | 43.04% |
| amtilb_ vs Leroy | 34–44 | 43.59% |
| amtilb_ vs Clive | 31–47 | 39.74% |
| amtilb_ vs Xiaoyu | 36–37 | 49.32% |
| amtilb_ vs Jack-8 | 25–36 | 40.98% |
| amtilb_ vs Claudio | 22–39 | 36.07% |
| amtilb_ vs Leo | 16–35 | 31.37% |
| amtilb_ vs Lidia | 26–21 | 55.32% |
| amtilb_ vs Zafina | 20–24 | 45.45% |
| amtilb_ vs Shaheen | 21–20 | 51.22% |
| amtilb_ vs Miary Zo | 23–15 | 60.53% |
| amtilb_ vs Raven | 25–10 | 71.43% |
| amtilb_ vs Kuma | 9–15 | 37.50% |
| amtilb_ vs Panda | 13–8 | 61.90% |
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.