AcyclicStorm292 vs Jin | 210–175 | 54.55% |
AcyclicStorm292 vs King | 164–175 | 48.38% |
AcyclicStorm292 vs Kazuya | 148–166 | 47.13% |
AcyclicStorm292 vs Reina | 117–123 | 48.75% |
AcyclicStorm292 vs Dragunov | 105–99 | 51.47% |
AcyclicStorm292 vs Lili | 70–108 | 39.33% |
AcyclicStorm292 vs Law | 83–93 | 47.16% |
AcyclicStorm292 vs Hwoarang | 77–96 | 44.51% |
AcyclicStorm292 vs Bryan | 70–95 | 42.42% |
AcyclicStorm292 vs Yoshimitsu | 58–76 | 43.28% |
AcyclicStorm292 vs Steve | 53–75 | 41.41% |
AcyclicStorm292 vs Azucena | 61–67 | 47.66% |
AcyclicStorm292 vs Xiaoyu | 56–65 | 46.28% |
AcyclicStorm292 vs Paul | 50–58 | 46.30% |
AcyclicStorm292 vs Asuka | 42–63 | 40.00% |
AcyclicStorm292 vs Jun | 46–55 | 45.54% |
AcyclicStorm292 vs Devil Jin | 40–57 | 41.24% |
AcyclicStorm292 vs Nina | 37–60 | 38.14% |
AcyclicStorm292 vs Lars | 40–55 | 42.11% |
AcyclicStorm292 vs Eddy | 38–54 | 41.30% |
AcyclicStorm292 vs Alisa | 34–51 | 40.00% |
AcyclicStorm292 vs Feng | 40–40 | 50.00% |
AcyclicStorm292 vs Lee | 29–44 | 39.73% |
AcyclicStorm292 vs Heihachi | 33–39–1 | 45.83% |
AcyclicStorm292 vs Lidia | 29–34 | 46.03% |
AcyclicStorm292 vs Claudio | 22–40 | 35.48% |
AcyclicStorm292 vs Leo | 21–36 | 36.84% |
AcyclicStorm292 vs Leroy | 12–41 | 22.64% |
AcyclicStorm292 vs Victor | 14–39 | 26.42% |
AcyclicStorm292 vs Shaheen | 17–20 | 45.95% |
AcyclicStorm292 vs Kuma | 10–26 | 27.78% |
AcyclicStorm292 vs Jack-8 | 9–25 | 26.47% |
AcyclicStorm292 vs Zafina | 19–15 | 55.88% |
AcyclicStorm292 vs Raven | 13–20 | 39.39% |
AcyclicStorm292 vs Clive | 16–15 | 51.61% |
AcyclicStorm292 vs Panda | 1–4 | 20.00% |
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.