| IAdapt vs Kazuya | 175–161 | 52.08% |
| IAdapt vs Jin | 118–106 | 52.68% |
| IAdapt vs Steve | 98–108 | 47.57% |
| IAdapt vs Bryan | 96–103 | 48.24% |
| IAdapt vs King | 92–106 | 46.46% |
| IAdapt vs Reina | 86–91 | 48.59% |
| IAdapt vs Law | 82–77 | 51.57% |
| IAdapt vs Hwoarang | 83–64 | 56.46% |
| IAdapt vs Dragunov | 70–72 | 49.30% |
| IAdapt vs Lee | 58–77 | 42.96% |
| IAdapt vs Heihachi | 64–70 | 47.76% |
| IAdapt vs Paul | 50–73 | 40.65% |
| IAdapt vs Asuka | 65–53 | 55.08% |
| IAdapt vs Jun | 52–63 | 45.22% |
| IAdapt vs Yoshimitsu | 60–53 | 53.10% |
| IAdapt vs Azucena | 47–59 | 44.34% |
| IAdapt vs Victor | 69–37 | 65.09% |
| IAdapt vs Lars | 48–53 | 47.52% |
| IAdapt vs Xiaoyu | 43–53 | 44.79% |
| IAdapt vs Lidia | 42–47 | 47.19% |
| IAdapt vs Fahkumram | 39–47 | 45.35% |
| IAdapt vs Eddy | 44–41 | 51.76% |
| IAdapt vs Lili | 51–31 | 62.20% |
| IAdapt vs Feng | 41–40 | 50.62% |
| IAdapt vs Raven | 45–35 | 56.25% |
| IAdapt vs Devil Jin | 43–36 | 54.43% |
| IAdapt vs Clive | 44–32 | 57.89% |
| IAdapt vs Armor King | 34–42 | 44.74% |
| IAdapt vs Nina | 27–37 | 42.19% |
| IAdapt vs Leroy | 29–34 | 46.03% |
| IAdapt vs Jack-8 | 24–38 | 38.71% |
| IAdapt vs Leo | 24–32 | 42.86% |
| IAdapt vs Anna | 25–27 | 48.08% |
| IAdapt vs Alisa | 14–34 | 29.17% |
| IAdapt vs Kuma | 19–27 | 41.30% |
| IAdapt vs Claudio | 17–28 | 37.78% |
| IAdapt vs Zafina | 17–19 | 47.22% |
| IAdapt vs Shaheen | 15–18 | 45.45% |
| IAdapt vs Panda | 3–3 | 50.00% |
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.